7,560 Wearable jobs in the United States
Research Engineer - Wearable Agents AI
94010
Meta
Posted 17 days ago
Job Viewed
Job Description
**Summary:**
We are seeking a Research Engineer to join the Wearable Agents AI team. This role will focus on creating advanced machine learning models and systems that power the Wearable AI Assistant's memory and personalization features, including multi-modal recall, personalization, recommendations, and related capabilities.
**Required Skills:**
Research Engineer - Wearable Agents AI Responsibilities:
1. Research and develop state-of-the-art machine learning models and novel algorithms tailored to wearable AI assistant capabilities, with a primary focus on memory, personalization, multi-modal recall, and recommendation systems
2. Design, prototype, and implement robust systems enabling multi-modal recall of user experiences, integrating a wide range of data sources such as text, audio, image, and sensor inputs for contextual understanding
3. Architect and optimize machine learning pipelines for dynamic user personalization and tailored recommendations, ensuring scalable, low-latency performance for real-world applications
4. Conduct rigorous experimentation, ablation studies, and evaluation-analyzing model performance using quantitative metrics and qualitative feedback to drive algorithmic improvements
5. Collaborate closely with product managers, engineers, and UX designers to align technical solutions with user needs and deliver innovative, production-ready features
6. Monitor, maintain, and iterate on deployed machine learning systems at scale, ensuring reliability, security, and continual enhancement based on user behaviors and emerging platform data
7. Stay at the forefront of research and industry trends in deep learning, multi-modal modeling, information retrieval, recommendation, personalization, LLMs, and related disciplines, bringing new methodologies into the team's research and development pipeline
8. Communicate findings and contribute to technical documentation, internal presentations, and external publications where appropriate
**Minimum Qualifications:**
Minimum Qualifications:
9. Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
10. Proven track record of research in one or more of the following areas: deep learning, information retrieval, personalization, recommendation systems, or LLMs
11. 5+ years experience deploying machine learning models and systems at scale in an industry setting
12. Demonstrated up-to-date expertise in machine learning research advancements and adherence to industry best practices
**Preferred Qualifications:**
Preferred Qualifications:
13. Advanced degree (MS or PhD) in Computer Science, Machine Learning, AI, or a related technical field, or equivalent practical experience
14. Experience working on wearable or assistant AI technologies
15. Expertise in multi-modal machine learning and memory systems
16. Demonstrated software engineering capabilities with practical experience in developing and maintaining production machine learning systems
17. Proven ability to effectively communicate complex technical concepts and collaborate productively with cross-functional teams
**Public Compensation:**
$85.10/hour to $251,000/year + bonus + equity + benefits
**Industry:** Internet
**Equal Opportunity:**
Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.
Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at
We are seeking a Research Engineer to join the Wearable Agents AI team. This role will focus on creating advanced machine learning models and systems that power the Wearable AI Assistant's memory and personalization features, including multi-modal recall, personalization, recommendations, and related capabilities.
**Required Skills:**
Research Engineer - Wearable Agents AI Responsibilities:
1. Research and develop state-of-the-art machine learning models and novel algorithms tailored to wearable AI assistant capabilities, with a primary focus on memory, personalization, multi-modal recall, and recommendation systems
2. Design, prototype, and implement robust systems enabling multi-modal recall of user experiences, integrating a wide range of data sources such as text, audio, image, and sensor inputs for contextual understanding
3. Architect and optimize machine learning pipelines for dynamic user personalization and tailored recommendations, ensuring scalable, low-latency performance for real-world applications
4. Conduct rigorous experimentation, ablation studies, and evaluation-analyzing model performance using quantitative metrics and qualitative feedback to drive algorithmic improvements
5. Collaborate closely with product managers, engineers, and UX designers to align technical solutions with user needs and deliver innovative, production-ready features
6. Monitor, maintain, and iterate on deployed machine learning systems at scale, ensuring reliability, security, and continual enhancement based on user behaviors and emerging platform data
7. Stay at the forefront of research and industry trends in deep learning, multi-modal modeling, information retrieval, recommendation, personalization, LLMs, and related disciplines, bringing new methodologies into the team's research and development pipeline
8. Communicate findings and contribute to technical documentation, internal presentations, and external publications where appropriate
**Minimum Qualifications:**
Minimum Qualifications:
9. Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
10. Proven track record of research in one or more of the following areas: deep learning, information retrieval, personalization, recommendation systems, or LLMs
11. 5+ years experience deploying machine learning models and systems at scale in an industry setting
12. Demonstrated up-to-date expertise in machine learning research advancements and adherence to industry best practices
**Preferred Qualifications:**
Preferred Qualifications:
13. Advanced degree (MS or PhD) in Computer Science, Machine Learning, AI, or a related technical field, or equivalent practical experience
14. Experience working on wearable or assistant AI technologies
15. Expertise in multi-modal machine learning and memory systems
16. Demonstrated software engineering capabilities with practical experience in developing and maintaining production machine learning systems
17. Proven ability to effectively communicate complex technical concepts and collaborate productively with cross-functional teams
**Public Compensation:**
$85.10/hour to $251,000/year + bonus + equity + benefits
**Industry:** Internet
**Equal Opportunity:**
Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.
Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at
View Now
0
Research Engineer - Wearable Agents AI
98073 Snoqualmie, Washington
Meta
Posted 11 days ago
Job Viewed
Job Description
**Summary:**
We are seeking a Research Engineer to join the Wearable Agents AI team. This role will focus on creating advanced machine learning models and systems that power the Wearable AI Assistant's memory and personalization features, including multi-modal recall, personalization, recommendations, and related capabilities.
**Required Skills:**
Research Engineer - Wearable Agents AI Responsibilities:
1. Research and develop state-of-the-art machine learning models and novel algorithms tailored to wearable AI assistant capabilities, with a primary focus on memory, personalization, multi-modal recall, and recommendation systems
2. Design, prototype, and implement robust systems enabling multi-modal recall of user experiences, integrating a wide range of data sources such as text, audio, image, and sensor inputs for contextual understanding
3. Architect and optimize machine learning pipelines for dynamic user personalization and tailored recommendations, ensuring scalable, low-latency performance for real-world applications
4. Conduct rigorous experimentation, ablation studies, and evaluation-analyzing model performance using quantitative metrics and qualitative feedback to drive algorithmic improvements
5. Collaborate closely with product managers, engineers, and UX designers to align technical solutions with user needs and deliver innovative, production-ready features
6. Monitor, maintain, and iterate on deployed machine learning systems at scale, ensuring reliability, security, and continual enhancement based on user behaviors and emerging platform data
7. Stay at the forefront of research and industry trends in deep learning, multi-modal modeling, information retrieval, recommendation, personalization, LLMs, and related disciplines, bringing new methodologies into the team's research and development pipeline
8. Communicate findings and contribute to technical documentation, internal presentations, and external publications where appropriate
**Minimum Qualifications:**
Minimum Qualifications:
9. Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
10. Proven track record of research in one or more of the following areas: deep learning, information retrieval, personalization, recommendation systems, or LLMs
11. 5+ years experience deploying machine learning models and systems at scale in an industry setting
12. Demonstrated up-to-date expertise in machine learning research advancements and adherence to industry best practices
**Preferred Qualifications:**
Preferred Qualifications:
13. Advanced degree (MS or PhD) in Computer Science, Machine Learning, AI, or a related technical field, or equivalent practical experience
14. Experience working on wearable or assistant AI technologies
15. Expertise in multi-modal machine learning and memory systems
16. Demonstrated software engineering capabilities with practical experience in developing and maintaining production machine learning systems
17. Proven ability to effectively communicate complex technical concepts and collaborate productively with cross-functional teams
**Public Compensation:**
$85.10/hour to $251,000/year + bonus + equity + benefits
**Industry:** Internet
**Equal Opportunity:**
Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.
Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at
We are seeking a Research Engineer to join the Wearable Agents AI team. This role will focus on creating advanced machine learning models and systems that power the Wearable AI Assistant's memory and personalization features, including multi-modal recall, personalization, recommendations, and related capabilities.
**Required Skills:**
Research Engineer - Wearable Agents AI Responsibilities:
1. Research and develop state-of-the-art machine learning models and novel algorithms tailored to wearable AI assistant capabilities, with a primary focus on memory, personalization, multi-modal recall, and recommendation systems
2. Design, prototype, and implement robust systems enabling multi-modal recall of user experiences, integrating a wide range of data sources such as text, audio, image, and sensor inputs for contextual understanding
3. Architect and optimize machine learning pipelines for dynamic user personalization and tailored recommendations, ensuring scalable, low-latency performance for real-world applications
4. Conduct rigorous experimentation, ablation studies, and evaluation-analyzing model performance using quantitative metrics and qualitative feedback to drive algorithmic improvements
5. Collaborate closely with product managers, engineers, and UX designers to align technical solutions with user needs and deliver innovative, production-ready features
6. Monitor, maintain, and iterate on deployed machine learning systems at scale, ensuring reliability, security, and continual enhancement based on user behaviors and emerging platform data
7. Stay at the forefront of research and industry trends in deep learning, multi-modal modeling, information retrieval, recommendation, personalization, LLMs, and related disciplines, bringing new methodologies into the team's research and development pipeline
8. Communicate findings and contribute to technical documentation, internal presentations, and external publications where appropriate
**Minimum Qualifications:**
Minimum Qualifications:
9. Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
10. Proven track record of research in one or more of the following areas: deep learning, information retrieval, personalization, recommendation systems, or LLMs
11. 5+ years experience deploying machine learning models and systems at scale in an industry setting
12. Demonstrated up-to-date expertise in machine learning research advancements and adherence to industry best practices
**Preferred Qualifications:**
Preferred Qualifications:
13. Advanced degree (MS or PhD) in Computer Science, Machine Learning, AI, or a related technical field, or equivalent practical experience
14. Experience working on wearable or assistant AI technologies
15. Expertise in multi-modal machine learning and memory systems
16. Demonstrated software engineering capabilities with practical experience in developing and maintaining production machine learning systems
17. Proven ability to effectively communicate complex technical concepts and collaborate productively with cross-functional teams
**Public Compensation:**
$85.10/hour to $251,000/year + bonus + equity + benefits
**Industry:** Internet
**Equal Opportunity:**
Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.
Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at
View Now
1
Research Engineer - Wearable Agents AI
10176 New York, New York
Meta
Posted 11 days ago
Job Viewed
Job Description
**Summary:**
We are seeking a Research Engineer to join the Wearable Agents AI team. This role will focus on creating advanced machine learning models and systems that power the Wearable AI Assistant's memory and personalization features, including multi-modal recall, personalization, recommendations, and related capabilities.
**Required Skills:**
Research Engineer - Wearable Agents AI Responsibilities:
1. Research and develop state-of-the-art machine learning models and novel algorithms tailored to wearable AI assistant capabilities, with a primary focus on memory, personalization, multi-modal recall, and recommendation systems
2. Design, prototype, and implement robust systems enabling multi-modal recall of user experiences, integrating a wide range of data sources such as text, audio, image, and sensor inputs for contextual understanding
3. Architect and optimize machine learning pipelines for dynamic user personalization and tailored recommendations, ensuring scalable, low-latency performance for real-world applications
4. Conduct rigorous experimentation, ablation studies, and evaluation-analyzing model performance using quantitative metrics and qualitative feedback to drive algorithmic improvements
5. Collaborate closely with product managers, engineers, and UX designers to align technical solutions with user needs and deliver innovative, production-ready features
6. Monitor, maintain, and iterate on deployed machine learning systems at scale, ensuring reliability, security, and continual enhancement based on user behaviors and emerging platform data
7. Stay at the forefront of research and industry trends in deep learning, multi-modal modeling, information retrieval, recommendation, personalization, LLMs, and related disciplines, bringing new methodologies into the team's research and development pipeline
8. Communicate findings and contribute to technical documentation, internal presentations, and external publications where appropriate
**Minimum Qualifications:**
Minimum Qualifications:
9. Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
10. Proven track record of research in one or more of the following areas: deep learning, information retrieval, personalization, recommendation systems, or LLMs
11. 5+ years experience deploying machine learning models and systems at scale in an industry setting
12. Demonstrated up-to-date expertise in machine learning research advancements and adherence to industry best practices
**Preferred Qualifications:**
Preferred Qualifications:
13. Advanced degree (MS or PhD) in Computer Science, Machine Learning, AI, or a related technical field, or equivalent practical experience
14. Experience working on wearable or assistant AI technologies
15. Expertise in multi-modal machine learning and memory systems
16. Demonstrated software engineering capabilities with practical experience in developing and maintaining production machine learning systems
17. Proven ability to effectively communicate complex technical concepts and collaborate productively with cross-functional teams
**Public Compensation:**
$85.10/hour to $251,000/year + bonus + equity + benefits
**Industry:** Internet
**Equal Opportunity:**
Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.
Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at
We are seeking a Research Engineer to join the Wearable Agents AI team. This role will focus on creating advanced machine learning models and systems that power the Wearable AI Assistant's memory and personalization features, including multi-modal recall, personalization, recommendations, and related capabilities.
**Required Skills:**
Research Engineer - Wearable Agents AI Responsibilities:
1. Research and develop state-of-the-art machine learning models and novel algorithms tailored to wearable AI assistant capabilities, with a primary focus on memory, personalization, multi-modal recall, and recommendation systems
2. Design, prototype, and implement robust systems enabling multi-modal recall of user experiences, integrating a wide range of data sources such as text, audio, image, and sensor inputs for contextual understanding
3. Architect and optimize machine learning pipelines for dynamic user personalization and tailored recommendations, ensuring scalable, low-latency performance for real-world applications
4. Conduct rigorous experimentation, ablation studies, and evaluation-analyzing model performance using quantitative metrics and qualitative feedback to drive algorithmic improvements
5. Collaborate closely with product managers, engineers, and UX designers to align technical solutions with user needs and deliver innovative, production-ready features
6. Monitor, maintain, and iterate on deployed machine learning systems at scale, ensuring reliability, security, and continual enhancement based on user behaviors and emerging platform data
7. Stay at the forefront of research and industry trends in deep learning, multi-modal modeling, information retrieval, recommendation, personalization, LLMs, and related disciplines, bringing new methodologies into the team's research and development pipeline
8. Communicate findings and contribute to technical documentation, internal presentations, and external publications where appropriate
**Minimum Qualifications:**
Minimum Qualifications:
9. Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
10. Proven track record of research in one or more of the following areas: deep learning, information retrieval, personalization, recommendation systems, or LLMs
11. 5+ years experience deploying machine learning models and systems at scale in an industry setting
12. Demonstrated up-to-date expertise in machine learning research advancements and adherence to industry best practices
**Preferred Qualifications:**
Preferred Qualifications:
13. Advanced degree (MS or PhD) in Computer Science, Machine Learning, AI, or a related technical field, or equivalent practical experience
14. Experience working on wearable or assistant AI technologies
15. Expertise in multi-modal machine learning and memory systems
16. Demonstrated software engineering capabilities with practical experience in developing and maintaining production machine learning systems
17. Proven ability to effectively communicate complex technical concepts and collaborate productively with cross-functional teams
**Public Compensation:**
$85.10/hour to $251,000/year + bonus + equity + benefits
**Industry:** Internet
**Equal Opportunity:**
Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.
Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at
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2
Earn Money Testing Innovative Wearable Technology!
30383 Atlanta, Georgia
uTest by Applause
Posted 4 days ago
Job Viewed
Job Description
Join uTest, by Applause . We provide businesses with essential testing services for their websites, applications, and hardware. Here’s your chance to influence the future of technology while earning money!
We're seeking enthusiastic individuals who are interested in participating on-site in testing cutting-edge digital wearable technology.
Project Details:
- You will wear and interact with devices on your arms and hands that control functionality through movement and touch.
- Participants must provide feedback via a survey about their experience using the device.
- The testing will take approximately 3 hours .
- Payout for participation is $120.
Tester Requirements:
- Must be 18 years or older.
- Willing to travel to the designated data collection facility in Atlanta during normal business hours.
- Proficient in spoken and written English.
- Normal or close-to-normal hearing required.
- Must not be currently pregnant.
- Normal vision or able to wear vision-correcting glasses/contacts on testing days.
- No history of epilepsy, seizures, or severe traumatic brain injury.
- No conditions that impair the ability to grip or touch with hands.
- No pre-existing conditions in the arms (shoulder, arm, wrist, hand, fingers) such as tendinitis or recurring pain.
Referral Bonus:
Earn a $25 bonus for each tester you refer who successfully completes the project! Just make sure they provide your uTest account name and email during their application.
Please remember: All testers must present a physical copy of a state/government-issued Photo ID. No copies or expired IDs will be accepted, and anyone arriving without valid ID will be turned away without compensation.
If you require corrective lenses, please wear contacts if available, or bring your glasses on the testing day.
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3
Hardware Engineering Lead
46802 Fort Wayne, Indiana
BAE Systems
Posted 8 days ago
Job Viewed
Job Description
**Job Description**
BAE Systems is an international engineering firm operating in different industries from sustainable mass transit, to cyber security, to the design and manufacture of many different types of defense products.
Given our continued growth, we have immediate roles available for a highly motivated Principal Hardware Lead to join our Transition to Production, Production Support and Sustainment team as a Lead, supporting one of our Adaptive Communications & Sensing (AC&S) Product Lines.
Our AC&S Product Line is part of BAE Systems C4ISR Division, which provides actionable intelligence for our warfighters and decision makers through innovative technical solutions from the seas to the stars. The AC&S product line has annual revenue exceeding $500m, operating across multiple sites with almost 1000 employees across the globe.
In this role, you will have a chance to grow your skills supporting the continued production and sustainment of various complex microwave modules, submodules, circuit card assemblies, and subsystems utilized across multiple projects. You will have the opportunity to work closely with cutting-edge hardware fielded on the most advanced Military Platforms.
Activities day to day will vary and may include:
+ Supporting product yield and affordability improvements
+ Supporting production issues in assembly, test/debug, quality
+ Managing overall workload of the HW team supporting production
+ Delegating tasking to less experienced engineers and technicians
+ Technical management of subcontractors
+ Working with hardware suppliers
**Required Education, Experience, & Skills**
+ Bachelor s degree in Electrical Engineering and 8 years experience working on RF/Microwave and digital products preferably in the defense industry
+ Experience testing and troubleshooting complex electrical systems
+ Proven ability to perform triage
+ Excellent problem solving skills, judgment, and analytical capability
+ Experience supporting a production environment
+ Motivated self-starter with leadership skills and ability to effectively work in a team environment
+ Ability to close on discrete tasking in a timely manner and lead others to closure - Own the Design
+ Strong technical written and verbal communication skills
**Preferred Education, Experience, & Skills**
+ Active Secret clearance is highly preferred
+ Experience working in a manufacturing environment
+ Experience in RF/Microwave subsystem, module and circuit design and development
+ Experience gathering and analyzing test data to assess trends and develop yield improvement plans
**Pay Information**
Full-Time Salary Range: $ -
Please note: This range is based on our market pay structures. However, individual salaries are determined by a variety of factors including, but not limited to: business considerations, local market conditions, and internal equity, as well as candidate qualifications, such as skills, education, and experience.
Employee Benefits: At BAE Systems, we support our employees in all aspects of their life, including their health and financial well-being. Regular employees scheduled to work 20 hours per week are offered: health, dental, and vision insurance; health savings accounts; a 401(k) savings plan; disability coverage; and life and accident insurance. We also have an employee assistance program, a legal plan, and other perks including discounts on things like home, auto, and pet insurance. Our leave programs include paid time off, paid holidays, as well as other types of leave, including paid parental, military, bereavement, and any applicable federal and state sick leave. Employees may participate in the company recognition program to receive monetary or non-monetary recognition awards. Other incentives may be available based on position level and/or job specifics.
**Hardware Engineering Lead**
** BR**
EEO Career Site Equal Opportunity Employer. Minorities . females . veterans . individuals with disabilities . sexual orientation . gender identity . gender expression
BAE Systems is an international engineering firm operating in different industries from sustainable mass transit, to cyber security, to the design and manufacture of many different types of defense products.
Given our continued growth, we have immediate roles available for a highly motivated Principal Hardware Lead to join our Transition to Production, Production Support and Sustainment team as a Lead, supporting one of our Adaptive Communications & Sensing (AC&S) Product Lines.
Our AC&S Product Line is part of BAE Systems C4ISR Division, which provides actionable intelligence for our warfighters and decision makers through innovative technical solutions from the seas to the stars. The AC&S product line has annual revenue exceeding $500m, operating across multiple sites with almost 1000 employees across the globe.
In this role, you will have a chance to grow your skills supporting the continued production and sustainment of various complex microwave modules, submodules, circuit card assemblies, and subsystems utilized across multiple projects. You will have the opportunity to work closely with cutting-edge hardware fielded on the most advanced Military Platforms.
Activities day to day will vary and may include:
+ Supporting product yield and affordability improvements
+ Supporting production issues in assembly, test/debug, quality
+ Managing overall workload of the HW team supporting production
+ Delegating tasking to less experienced engineers and technicians
+ Technical management of subcontractors
+ Working with hardware suppliers
**Required Education, Experience, & Skills**
+ Bachelor s degree in Electrical Engineering and 8 years experience working on RF/Microwave and digital products preferably in the defense industry
+ Experience testing and troubleshooting complex electrical systems
+ Proven ability to perform triage
+ Excellent problem solving skills, judgment, and analytical capability
+ Experience supporting a production environment
+ Motivated self-starter with leadership skills and ability to effectively work in a team environment
+ Ability to close on discrete tasking in a timely manner and lead others to closure - Own the Design
+ Strong technical written and verbal communication skills
**Preferred Education, Experience, & Skills**
+ Active Secret clearance is highly preferred
+ Experience working in a manufacturing environment
+ Experience in RF/Microwave subsystem, module and circuit design and development
+ Experience gathering and analyzing test data to assess trends and develop yield improvement plans
**Pay Information**
Full-Time Salary Range: $ -
Please note: This range is based on our market pay structures. However, individual salaries are determined by a variety of factors including, but not limited to: business considerations, local market conditions, and internal equity, as well as candidate qualifications, such as skills, education, and experience.
Employee Benefits: At BAE Systems, we support our employees in all aspects of their life, including their health and financial well-being. Regular employees scheduled to work 20 hours per week are offered: health, dental, and vision insurance; health savings accounts; a 401(k) savings plan; disability coverage; and life and accident insurance. We also have an employee assistance program, a legal plan, and other perks including discounts on things like home, auto, and pet insurance. Our leave programs include paid time off, paid holidays, as well as other types of leave, including paid parental, military, bereavement, and any applicable federal and state sick leave. Employees may participate in the company recognition program to receive monetary or non-monetary recognition awards. Other incentives may be available based on position level and/or job specifics.
**Hardware Engineering Lead**
** BR**
EEO Career Site Equal Opportunity Employer. Minorities . females . veterans . individuals with disabilities . sexual orientation . gender identity . gender expression
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4
Hardware Engineering Intern
92085 Vista, California
Danaher Corporation
Posted 16 days ago
Job Viewed
Job Description
Bring more to life.
Are you ready to accelerate your potential and make a real difference within life sciences, diagnostics and biotechnology?
At Leica Biosystems, one of Danaher's 15+ operating companies, our work saves lives-and we're all united by a shared commitment to innovate for tangible impact.
You'll thrive in a culture of belonging where you and your unique viewpoint matter. And by harnessing Danaher's system of continuous improvement, you help turn ideas into impact - innovating at the speed of life.
At Leica Biosystems, we're not just shaping the future of cancer diagnostics - we're transforming lives. Our mission of "Advancing Cancer Diagnostics, Improving Lives" is the driving force behind everything we do. As a global leader with the most comprehensive portfolio spanning from biopsy to diagnosis, we empower clinicians with innovative, reliable solutions so they can give patients timely, accurate answers when they need them most. When you join Leica Biosystems, you're not just taking a job; you're becoming part of a passionate team that knows every moment matters when it comes to cancer. You'll help develop diagnostic solutions that turn anxiety into answers, and aid the acceleration of next-generation, life-changing therapies. Surrounded by a diverse and collaborative global community, you'll be inspired each day to stretch, grow, and make an impact.
The Hardware Engineering Intern for Leica Biosystems is involved in the design and release of a series of sustainment and value-added value engineering (VAVE) projects for cost reduction, reliability improvement or other general sustainment projects related to Leica Biosystem's product line of Aperio Whole Slide Imaging Scanners
This position is part of the Digital Pathology Business Unit located in Vista, CA and will be on-site. At Leica Biosystems, our vision is to advance cancer diagnostics and improve lives.
You will be a part of the Hardware Engineering team and report to the Manager, Hardware Engineering. If you thrive in a fast paced, collaborative environment and want to work to build a world-class organization-read on.
In this role, you will have the opportunity to:
+ Performing system-level testing to produce data for use within design of experiments
+ Work with engineering team on various tasks, including but not limited to, machining, electronics, programming, verification & validation and system-level design and troubleshooting
+ Update or refine engineering drawings or processes with the guidance of senior engineers
Who you are:
+ Currently pursuing a bachelor's degree in Electrical Engineering, Mechanical Engineering, System Engineering, Biomedical Engineering or similar.
+ Strong verbal and written communication skills.
+ Ability to work independently and in a team environment
It would be a plus if you also possess previous experience in:
+ Some experience with CAD technologies, like SolidWorks, AutoCAD, or similar
+ Experience working with complex electromechanical systems
+ Extreme comfort with typical Windows programs (Word, PowerPoint, Excel, etc). Bonus points for familiarity with Linux / Unix computer environments.
The salary range OR the hourly range for this role is $25 - $35. This is the range that we in good faith believe is the range of possible compensation for this role at the time of this posting. This range may be modified in the future.
#earlycareer
Join our winning team today. Together, we'll accelerate the real-life impact of tomorrow's science and technology. We partner with customers across the globe to help them solve their most complex challenges, architecting solutions that bring the power of science to life.
For more information, visit .
Danaher Corporation and all Danaher Companies are committed to equal opportunity regardless of race, color, national origin, religion, sex, age, marital status, disability, veteran status, sexual orientation, gender identity, or other characteristics protected by law.
The U.S. EEO posters are available here ( .
We comply with federal and state disability laws and make reasonable accommodations for applicants and employees with disabilities. If reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, please contact: or .
Are you ready to accelerate your potential and make a real difference within life sciences, diagnostics and biotechnology?
At Leica Biosystems, one of Danaher's 15+ operating companies, our work saves lives-and we're all united by a shared commitment to innovate for tangible impact.
You'll thrive in a culture of belonging where you and your unique viewpoint matter. And by harnessing Danaher's system of continuous improvement, you help turn ideas into impact - innovating at the speed of life.
At Leica Biosystems, we're not just shaping the future of cancer diagnostics - we're transforming lives. Our mission of "Advancing Cancer Diagnostics, Improving Lives" is the driving force behind everything we do. As a global leader with the most comprehensive portfolio spanning from biopsy to diagnosis, we empower clinicians with innovative, reliable solutions so they can give patients timely, accurate answers when they need them most. When you join Leica Biosystems, you're not just taking a job; you're becoming part of a passionate team that knows every moment matters when it comes to cancer. You'll help develop diagnostic solutions that turn anxiety into answers, and aid the acceleration of next-generation, life-changing therapies. Surrounded by a diverse and collaborative global community, you'll be inspired each day to stretch, grow, and make an impact.
The Hardware Engineering Intern for Leica Biosystems is involved in the design and release of a series of sustainment and value-added value engineering (VAVE) projects for cost reduction, reliability improvement or other general sustainment projects related to Leica Biosystem's product line of Aperio Whole Slide Imaging Scanners
This position is part of the Digital Pathology Business Unit located in Vista, CA and will be on-site. At Leica Biosystems, our vision is to advance cancer diagnostics and improve lives.
You will be a part of the Hardware Engineering team and report to the Manager, Hardware Engineering. If you thrive in a fast paced, collaborative environment and want to work to build a world-class organization-read on.
In this role, you will have the opportunity to:
+ Performing system-level testing to produce data for use within design of experiments
+ Work with engineering team on various tasks, including but not limited to, machining, electronics, programming, verification & validation and system-level design and troubleshooting
+ Update or refine engineering drawings or processes with the guidance of senior engineers
Who you are:
+ Currently pursuing a bachelor's degree in Electrical Engineering, Mechanical Engineering, System Engineering, Biomedical Engineering or similar.
+ Strong verbal and written communication skills.
+ Ability to work independently and in a team environment
It would be a plus if you also possess previous experience in:
+ Some experience with CAD technologies, like SolidWorks, AutoCAD, or similar
+ Experience working with complex electromechanical systems
+ Extreme comfort with typical Windows programs (Word, PowerPoint, Excel, etc). Bonus points for familiarity with Linux / Unix computer environments.
The salary range OR the hourly range for this role is $25 - $35. This is the range that we in good faith believe is the range of possible compensation for this role at the time of this posting. This range may be modified in the future.
#earlycareer
Join our winning team today. Together, we'll accelerate the real-life impact of tomorrow's science and technology. We partner with customers across the globe to help them solve their most complex challenges, architecting solutions that bring the power of science to life.
For more information, visit .
Danaher Corporation and all Danaher Companies are committed to equal opportunity regardless of race, color, national origin, religion, sex, age, marital status, disability, veteran status, sexual orientation, gender identity, or other characteristics protected by law.
The U.S. EEO posters are available here ( .
We comply with federal and state disability laws and make reasonable accommodations for applicants and employees with disabilities. If reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, please contact: or .
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5
Hardware Engineering Manager
94039 Mountainview, California
General Motors
Posted 17 days ago
Job Viewed
Job Description
**Job Description**
**Hybrid:** This means the successful candidate is expected to report to their primary location (Mountain View, CA OR Warren, MI) three times per week, at minimum.
**The Role**
Connectivity plays a pivotal role in using and advancing technology to offer unparalleled customer experience and develop revenue generating streams while acting as cornerstone to offer safety critical, hands-free driving solutions in line with General Motor's strong safety culture. We are seeking a highly skilled and motivated Connectivity Module Hardware Engineer with a strong background in 5G, BT, Wi-Fi, BLE, UWB, and NFC technologies. The ideal candidate will have 5+ years of management experience in hardware development as well as hands-on experience in hardware design, including system architecture, schematics capture, thermal analysis, and layout related to power circuitry, PCB flooring plan, RF front end, etc. to develop best in class Connectivity systems for General Motor's vehicles.
The Connectivity Module Hardware Engineering Manager will be responsible for managing a small team and leading the design, development, function/performance validation, and issue resolution, of hardware components and systems that support Connectivity technologies across all GM vehicles and architectures. This role is tightly coupled to cross-functional teams, including vehicle integration, product managers, and system engineers, to create secure and reliable Connectivity solutions and assist in defining future technology roadmaps and resolution of issues that arise throughout development and production.
**What You'll Do**
+ Hardware Design: Design, develop, and test Connectivity hardware systems, including microcontrollers, sensors, wireless communication modules (5G, BT, Wi-Fi, BLE, NFC, UWB), and power management circuits while maintaining module performance and signal integrity.
+ Architecture Design: Create detailed system architectures, schematics, layouts, and thermal analysis to ensure system performance requirements.
+ System Integration: Collaborate with vehicle integration and packaging teams to integrate digital key hardware systems into the broader vehicle electrical architecture ensuring optimal performance considering design constraints and tradeoffs.
+ Testing Plan: Contribute with the elaboration of Sanity and Deep Dive Tests Plan in component and vehicle levels.
+ Prototyping & Testing: Develop and validate prototypes, conduct rigorous testing, and ensure hardware meets function, signal integrity and performance requirements.
+ Troubleshooting & Debugging: Provide troubleshooting support for hardware-related issues, performing root-cause analysis and implementing corrective actions.
+ Collaboration: Work closely with internal teams to ensure all program deliveries and dates are met for design releases, vehicle integration, DFMEAs, testing, defect resolution, and product launch.
+ Technology Development: Stay abreast with the latest advancements in Connectivity technology and hardware design, in addition to recommending and implementing improvements to processes and products.
+ Sourcing: Support selection and provide direction to CMs throughout development process.
+ Compliance & Standards: Ensure all hardware designs comply with relevant industry standards (e.g., ISO/IEC, CE, FCC) and regulatory requirements.
+ Communication: Report to senior leaders on project status, roadblocks, and escalation requests.
**Your Skills & Abilities (Required Qualifications)**
+ Minimum of a bachelor's degree in electrical engineering, computer engineering, or equivalent with extensive industry experience.
+ 5+ years of management experience in hardware development
+ 10+ years of experience in hardware design and testing.
+ Expertise in 5G, BT, Wi-Fi, BLE, UWB, and NFC technologies with a strong understanding of their application in vehicle Connectivity systems.
+ Strong proficiency in PCB design including schematics and layout using industry-standard tools (e.g., Xpedition, Altium, Eagle, KiCad).
+ Experience with hardware debugging tools such as oscilloscopes, logic analyzers, and signal generators.
+ Knowledge of embedded systems design and microcontroller architectures (ARM, etc.).
+ Excellent problem-solving skills with the ability to work through complex hardware and system issues.
+ Strong communication and teamwork skills, with the ability to collaborate effectively across multiple disciplines.
**What Will Give You A Competitive Edge (Preferred Skills)**
+ 15+ years of experience in hardware design and testing.
+ Master's degree in engineering related field.
+ Knowledge of automotive or access control systems.
+ Experience with wireless connectivity protocols, coexistence and desense techniques (e.g., BT, Wi-Fi, BLE, NFC, UWB).Familiarity with RF design and antenna systems.
This job may be eligible for relocation benefits.
**Company Vehicle:** Upon successful completion of a motor vehicle report review, you will be eligible to participate in a company vehicle evaluation program, through which you will be assigned a General Motors vehicle to drive and evaluate. Note: program participants are required to purchase/lease a qualifying GM vehicle every four years unless one of a limited number of exceptions applies.
**Compensation:** The compensation information is a good faith estimate only. It is based on what a successful applicant might be paid in accordance with applicable state laws. The compensation may not be representative for positions located outside of the California Bay Area.
The salary range for this role is $ $168,000 - 258,800.00. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position.
**About GM**
Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all.
**Why Join Us**
We believe we all must make a choice every day - individually and collectively - to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team.
**Benefits Overview**
From day one, we're looking out for your well-being-at work and at home-so you can focus on realizing your ambitions. Learn how GM supports a rewarding career that rewards you personally by visiting Total Rewards Resources ( .
**Non-Discrimination and Equal Employment Opportunities (U.S.)**
General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers.
All employment decisions are made on a non-discriminatory basis without regard to sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy or maternity status, sexual orientation, gender identity, status as a veteran or protected veteran, or any other similarly protected status in accordance with federal, state and local laws.
We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visit How we Hire ( .
**Accommodations**
General Motors offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, email ( ) us or call us at . In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.
We are leading the change to make our world better, safer and more equitable for all through our actions and how we behave. Learn more about:
**Our Company ( Culture**
**How we hire ( diverse team of employees bring their collective passion for engineering, technology and design to deliver on our vision of a world with Zero Crashes, Zero Emissions and Zero Congestion. We are looking for adventure-seekers and imaginative thought leaders to help us transform mobility.
Explore our global locations ( are determined to lead change for the world through technology, ingenuity and harnessing the creativity of our diverse team. Join us to help lead the change that will make our world better, safer and more equitable for all by becoming a member of GM's Talent Community (beamery.com) ( . As a part of our Talent Community, you will receive updates about GM, open roles, career insights and more.
Please note that filling out the form below will not add you to our Talent Community automatically; you will need to use the link above. If you are seeking to apply to a specific role, we encourage you to click "Apply Now" on the job posting of interest.
The policy of General Motors is to extend opportunities to qualified applicants and employees on an equal basis regardless of an individual's age, race, color, sex, religion, national origin, disability, sexual orientation, gender identity/expression or veteran status. Additionally, General Motors is committed to being an Equal Employment Opportunity Employer and offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, email us at .In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.
**Hybrid:** This means the successful candidate is expected to report to their primary location (Mountain View, CA OR Warren, MI) three times per week, at minimum.
**The Role**
Connectivity plays a pivotal role in using and advancing technology to offer unparalleled customer experience and develop revenue generating streams while acting as cornerstone to offer safety critical, hands-free driving solutions in line with General Motor's strong safety culture. We are seeking a highly skilled and motivated Connectivity Module Hardware Engineer with a strong background in 5G, BT, Wi-Fi, BLE, UWB, and NFC technologies. The ideal candidate will have 5+ years of management experience in hardware development as well as hands-on experience in hardware design, including system architecture, schematics capture, thermal analysis, and layout related to power circuitry, PCB flooring plan, RF front end, etc. to develop best in class Connectivity systems for General Motor's vehicles.
The Connectivity Module Hardware Engineering Manager will be responsible for managing a small team and leading the design, development, function/performance validation, and issue resolution, of hardware components and systems that support Connectivity technologies across all GM vehicles and architectures. This role is tightly coupled to cross-functional teams, including vehicle integration, product managers, and system engineers, to create secure and reliable Connectivity solutions and assist in defining future technology roadmaps and resolution of issues that arise throughout development and production.
**What You'll Do**
+ Hardware Design: Design, develop, and test Connectivity hardware systems, including microcontrollers, sensors, wireless communication modules (5G, BT, Wi-Fi, BLE, NFC, UWB), and power management circuits while maintaining module performance and signal integrity.
+ Architecture Design: Create detailed system architectures, schematics, layouts, and thermal analysis to ensure system performance requirements.
+ System Integration: Collaborate with vehicle integration and packaging teams to integrate digital key hardware systems into the broader vehicle electrical architecture ensuring optimal performance considering design constraints and tradeoffs.
+ Testing Plan: Contribute with the elaboration of Sanity and Deep Dive Tests Plan in component and vehicle levels.
+ Prototyping & Testing: Develop and validate prototypes, conduct rigorous testing, and ensure hardware meets function, signal integrity and performance requirements.
+ Troubleshooting & Debugging: Provide troubleshooting support for hardware-related issues, performing root-cause analysis and implementing corrective actions.
+ Collaboration: Work closely with internal teams to ensure all program deliveries and dates are met for design releases, vehicle integration, DFMEAs, testing, defect resolution, and product launch.
+ Technology Development: Stay abreast with the latest advancements in Connectivity technology and hardware design, in addition to recommending and implementing improvements to processes and products.
+ Sourcing: Support selection and provide direction to CMs throughout development process.
+ Compliance & Standards: Ensure all hardware designs comply with relevant industry standards (e.g., ISO/IEC, CE, FCC) and regulatory requirements.
+ Communication: Report to senior leaders on project status, roadblocks, and escalation requests.
**Your Skills & Abilities (Required Qualifications)**
+ Minimum of a bachelor's degree in electrical engineering, computer engineering, or equivalent with extensive industry experience.
+ 5+ years of management experience in hardware development
+ 10+ years of experience in hardware design and testing.
+ Expertise in 5G, BT, Wi-Fi, BLE, UWB, and NFC technologies with a strong understanding of their application in vehicle Connectivity systems.
+ Strong proficiency in PCB design including schematics and layout using industry-standard tools (e.g., Xpedition, Altium, Eagle, KiCad).
+ Experience with hardware debugging tools such as oscilloscopes, logic analyzers, and signal generators.
+ Knowledge of embedded systems design and microcontroller architectures (ARM, etc.).
+ Excellent problem-solving skills with the ability to work through complex hardware and system issues.
+ Strong communication and teamwork skills, with the ability to collaborate effectively across multiple disciplines.
**What Will Give You A Competitive Edge (Preferred Skills)**
+ 15+ years of experience in hardware design and testing.
+ Master's degree in engineering related field.
+ Knowledge of automotive or access control systems.
+ Experience with wireless connectivity protocols, coexistence and desense techniques (e.g., BT, Wi-Fi, BLE, NFC, UWB).Familiarity with RF design and antenna systems.
This job may be eligible for relocation benefits.
**Company Vehicle:** Upon successful completion of a motor vehicle report review, you will be eligible to participate in a company vehicle evaluation program, through which you will be assigned a General Motors vehicle to drive and evaluate. Note: program participants are required to purchase/lease a qualifying GM vehicle every four years unless one of a limited number of exceptions applies.
**Compensation:** The compensation information is a good faith estimate only. It is based on what a successful applicant might be paid in accordance with applicable state laws. The compensation may not be representative for positions located outside of the California Bay Area.
The salary range for this role is $ $168,000 - 258,800.00. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position.
**About GM**
Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all.
**Why Join Us**
We believe we all must make a choice every day - individually and collectively - to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team.
**Benefits Overview**
From day one, we're looking out for your well-being-at work and at home-so you can focus on realizing your ambitions. Learn how GM supports a rewarding career that rewards you personally by visiting Total Rewards Resources ( .
**Non-Discrimination and Equal Employment Opportunities (U.S.)**
General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers.
All employment decisions are made on a non-discriminatory basis without regard to sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy or maternity status, sexual orientation, gender identity, status as a veteran or protected veteran, or any other similarly protected status in accordance with federal, state and local laws.
We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visit How we Hire ( .
**Accommodations**
General Motors offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, email ( ) us or call us at . In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.
We are leading the change to make our world better, safer and more equitable for all through our actions and how we behave. Learn more about:
**Our Company ( Culture**
**How we hire ( diverse team of employees bring their collective passion for engineering, technology and design to deliver on our vision of a world with Zero Crashes, Zero Emissions and Zero Congestion. We are looking for adventure-seekers and imaginative thought leaders to help us transform mobility.
Explore our global locations ( are determined to lead change for the world through technology, ingenuity and harnessing the creativity of our diverse team. Join us to help lead the change that will make our world better, safer and more equitable for all by becoming a member of GM's Talent Community (beamery.com) ( . As a part of our Talent Community, you will receive updates about GM, open roles, career insights and more.
Please note that filling out the form below will not add you to our Talent Community automatically; you will need to use the link above. If you are seeking to apply to a specific role, we encourage you to click "Apply Now" on the job posting of interest.
The policy of General Motors is to extend opportunities to qualified applicants and employees on an equal basis regardless of an individual's age, race, color, sex, religion, national origin, disability, sexual orientation, gender identity/expression or veteran status. Additionally, General Motors is committed to being an Equal Employment Opportunity Employer and offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, email us at .In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.
View Now
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6
Hardware Engineering Director
75081 Wylie, Texas
Celestica
Posted 10 days ago
Job Viewed
Job Description
Req ID:
Region: Americas
Country: USA
State/Province: Texas
City: Richardson
**Summary**
The Principle, Manufacturing Equipment & Process Engineering is responsible for designing, developing, deploying and optimizing processes and equipment for manufacturing to achieve quality cost and delivery goals for Celestica and its customer's products.
**Detailed Description**
Performs tasks such as, but not limited to, the following:
+ Identify and manage all new customer-specific process and equipment development projects.
+ Develop the scope of all technical work, coordinate the team, evaluate and support prioritization of work assignments and assist with problem resolution for the full customer product life cycle. Support all manufacturing technical issues related to the customer's product(s) from product conception to product obsolescence.
+ Evaluate, optimize and negotiate tradeoffs for DFX issues with suppliers, customers, supply chain and equipment leaders to deliver a cost-optimized total manufacturing solution.
+ Evaluate potential manufacturing impacts affecting safety, cost, quality or delivery for each design concept.
+ Evaluate suppliers' capability and capacity to meet production schedule and cost targets
+ May also be considered the Subject Matter Expert in the company for specific sub-sector(s) of manufacturing.
+ Develop best practice standards, participate in industry organizations for developing the standards and provide training and application support globally.
**Knowledge/Skills/Competencies**
Enabling Competencies:
+ Project Management - Ability to lead high value, complex, multifunctional projects that involve accountability to executive management or directly to the customer. Ability to influence decision makers to ensure that the right financial and people resources are allocated to your project, while ensuring that project ROR is in the desired range. Able to consider non-conventional technical solutions and acquire external knowledge and best practices into the project.
+ Leadership - Demonstrate "Executive Leadership Behaviors" as per Celestica Leadership Imperatives.
+ Financial Acumen / Business Planning - Develop strategic plans on business unit or total company level to ensure all engineering work is financially viable and deliver the right ROI for the company. Engaged in developing billing and accounting methods for engineering work, participate in benchmarking, understand and apply best market practices to make engineering delivery financially attractive to our internal and external partners.
+ The following competencies may also be required and performed with help or under supervision: Coaching/Mentoring; Communication/Negotiation/Presentation; Creative Problem Solving; Customer Interaction/Stakeholder Management; Quality & Lean; Working Effectively with Others; D/PFMEA; 8D/Corrective Action; Equipment Safety; Design of Experiments (DOE).
**Physical Demands**
Duties of this position are performed in a normal office environment.
Duties may require extended periods of sitting and sustained visual concentration on a computer monitor or on numbers and other detailed data.
Repetitive manual movements (e.g., data entry, using a computer mouse, using a calculator, etc.) are frequently required.
Occasional travel may be required.
**Typical Experience**
+ 15+ years of relevant experience.
**Typical Education**
Bachelor degree or consideration of an equivalent combination of education and experience.
Educational Requirements may vary by Geography
**Notes**
This job description is not intended to be an exhaustive list of all duties and responsibilities of the position. Employees are held accountable for all duties of the job. Job duties and the % of time identified for any function are subject to change at any time.
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.
Celestica's policy on equal employment opportunity prohibits discrimination based on race, color, creed, religion, national origin, gender, sexual orientation, gender identity, age, marital status, veteran or disability status, or other characteristics protected by law.
This policy applies to hiring, promotion, discharge, pay, fringe benefits, job training, classification, referral and other aspects of employment and also states that retaliation against a person who files a charge of discrimination, participates in a discrimination proceeding, or otherwise opposes an unlawful employment practice will not be tolerated. All information will be kept confidential according to EEO guidelines.
**COMPANY OVERVIEW:**
Celestica (NYSE, TSX: CLS) enables the world's best brands. Through our recognized customer-centric approach, we partner with leading companies in Aerospace and Defense, Communications, Enterprise, HealthTech, Industrial, Capital Equipment and Energy to deliver solutions for their most complex challenges. As a leader in design, manufacturing, hardware platform and supply chain solutions, Celestica brings global expertise and insight at every stage of product development - from drawing board to full-scale production and after-market services for products from advanced medical devices, to highly engineered aviation systems, to next-generation hardware platform solutions for the Cloud. Headquartered in Toronto, with talented teams spanning 40+ locations in 13 countries across the Americas, Europe and Asia, we imagine, develop and deliver a better future with our customers.
Celestica would like to thank all applicants, however, only qualified applicants will be contacted.
Celestica does not accept unsolicited resumes from recruitment agencies or fee based recruitment services.
Region: Americas
Country: USA
State/Province: Texas
City: Richardson
**Summary**
The Principle, Manufacturing Equipment & Process Engineering is responsible for designing, developing, deploying and optimizing processes and equipment for manufacturing to achieve quality cost and delivery goals for Celestica and its customer's products.
**Detailed Description**
Performs tasks such as, but not limited to, the following:
+ Identify and manage all new customer-specific process and equipment development projects.
+ Develop the scope of all technical work, coordinate the team, evaluate and support prioritization of work assignments and assist with problem resolution for the full customer product life cycle. Support all manufacturing technical issues related to the customer's product(s) from product conception to product obsolescence.
+ Evaluate, optimize and negotiate tradeoffs for DFX issues with suppliers, customers, supply chain and equipment leaders to deliver a cost-optimized total manufacturing solution.
+ Evaluate potential manufacturing impacts affecting safety, cost, quality or delivery for each design concept.
+ Evaluate suppliers' capability and capacity to meet production schedule and cost targets
+ May also be considered the Subject Matter Expert in the company for specific sub-sector(s) of manufacturing.
+ Develop best practice standards, participate in industry organizations for developing the standards and provide training and application support globally.
**Knowledge/Skills/Competencies**
Enabling Competencies:
+ Project Management - Ability to lead high value, complex, multifunctional projects that involve accountability to executive management or directly to the customer. Ability to influence decision makers to ensure that the right financial and people resources are allocated to your project, while ensuring that project ROR is in the desired range. Able to consider non-conventional technical solutions and acquire external knowledge and best practices into the project.
+ Leadership - Demonstrate "Executive Leadership Behaviors" as per Celestica Leadership Imperatives.
+ Financial Acumen / Business Planning - Develop strategic plans on business unit or total company level to ensure all engineering work is financially viable and deliver the right ROI for the company. Engaged in developing billing and accounting methods for engineering work, participate in benchmarking, understand and apply best market practices to make engineering delivery financially attractive to our internal and external partners.
+ The following competencies may also be required and performed with help or under supervision: Coaching/Mentoring; Communication/Negotiation/Presentation; Creative Problem Solving; Customer Interaction/Stakeholder Management; Quality & Lean; Working Effectively with Others; D/PFMEA; 8D/Corrective Action; Equipment Safety; Design of Experiments (DOE).
**Physical Demands**
Duties of this position are performed in a normal office environment.
Duties may require extended periods of sitting and sustained visual concentration on a computer monitor or on numbers and other detailed data.
Repetitive manual movements (e.g., data entry, using a computer mouse, using a calculator, etc.) are frequently required.
Occasional travel may be required.
**Typical Experience**
+ 15+ years of relevant experience.
**Typical Education**
Bachelor degree or consideration of an equivalent combination of education and experience.
Educational Requirements may vary by Geography
**Notes**
This job description is not intended to be an exhaustive list of all duties and responsibilities of the position. Employees are held accountable for all duties of the job. Job duties and the % of time identified for any function are subject to change at any time.
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.
Celestica's policy on equal employment opportunity prohibits discrimination based on race, color, creed, religion, national origin, gender, sexual orientation, gender identity, age, marital status, veteran or disability status, or other characteristics protected by law.
This policy applies to hiring, promotion, discharge, pay, fringe benefits, job training, classification, referral and other aspects of employment and also states that retaliation against a person who files a charge of discrimination, participates in a discrimination proceeding, or otherwise opposes an unlawful employment practice will not be tolerated. All information will be kept confidential according to EEO guidelines.
**COMPANY OVERVIEW:**
Celestica (NYSE, TSX: CLS) enables the world's best brands. Through our recognized customer-centric approach, we partner with leading companies in Aerospace and Defense, Communications, Enterprise, HealthTech, Industrial, Capital Equipment and Energy to deliver solutions for their most complex challenges. As a leader in design, manufacturing, hardware platform and supply chain solutions, Celestica brings global expertise and insight at every stage of product development - from drawing board to full-scale production and after-market services for products from advanced medical devices, to highly engineered aviation systems, to next-generation hardware platform solutions for the Cloud. Headquartered in Toronto, with talented teams spanning 40+ locations in 13 countries across the Americas, Europe and Asia, we imagine, develop and deliver a better future with our customers.
Celestica would like to thank all applicants, however, only qualified applicants will be contacted.
Celestica does not accept unsolicited resumes from recruitment agencies or fee based recruitment services.
View Now
7
Hardware Engineering Manager
48093 Warren, Michigan
General Motors
Posted 11 days ago
Job Viewed
Job Description
**Job Description**
**Hybrid:** This means the successful candidate is expected to report to their primary location (Mountain View, CA OR Warren, MI) three times per week, at minimum.
**The Role**
Connectivity plays a pivotal role in using and advancing technology to offer unparalleled customer experience and develop revenue generating streams while acting as cornerstone to offer safety critical, hands-free driving solutions in line with General Motor's strong safety culture. We are seeking a highly skilled and motivated Connectivity Module Hardware Engineer with a strong background in 5G, BT, Wi-Fi, BLE, UWB, and NFC technologies. The ideal candidate will have 5+ years of management experience in hardware development as well as hands-on experience in hardware design, including system architecture, schematics capture, thermal analysis, and layout related to power circuitry, PCB flooring plan, RF front end, etc. to develop best in class Connectivity systems for General Motor's vehicles.
The Connectivity Module Hardware Engineering Manager will be responsible for managing a small team and leading the design, development, function/performance validation, and issue resolution, of hardware components and systems that support Connectivity technologies across all GM vehicles and architectures. This role is tightly coupled to cross-functional teams, including vehicle integration, product managers, and system engineers, to create secure and reliable Connectivity solutions and assist in defining future technology roadmaps and resolution of issues that arise throughout development and production.
**What You'll Do**
+ Hardware Design: Design, develop, and test Connectivity hardware systems, including microcontrollers, sensors, wireless communication modules (5G, BT, Wi-Fi, BLE, NFC, UWB), and power management circuits while maintaining module performance and signal integrity.
+ Architecture Design: Create detailed system architectures, schematics, layouts, and thermal analysis to ensure system performance requirements.
+ System Integration: Collaborate with vehicle integration and packaging teams to integrate digital key hardware systems into the broader vehicle electrical architecture ensuring optimal performance considering design constraints and tradeoffs.
+ Testing Plan: Contribute with the elaboration of Sanity and Deep Dive Tests Plan in component and vehicle levels.
+ Prototyping & Testing: Develop and validate prototypes, conduct rigorous testing, and ensure hardware meets function, signal integrity and performance requirements.
+ Troubleshooting & Debugging: Provide troubleshooting support for hardware-related issues, performing root-cause analysis and implementing corrective actions.
+ Collaboration: Work closely with internal teams to ensure all program deliveries and dates are met for design releases, vehicle integration, DFMEAs, testing, defect resolution, and product launch.
+ Technology Development: Stay abreast with the latest advancements in Connectivity technology and hardware design, in addition to recommending and implementing improvements to processes and products.
+ Sourcing: Support selection and provide direction to CMs throughout development process.
+ Compliance & Standards: Ensure all hardware designs comply with relevant industry standards (e.g., ISO/IEC, CE, FCC) and regulatory requirements.
+ Communication: Report to senior leaders on project status, roadblocks, and escalation requests.
**Your Skills & Abilities (Required Qualifications)**
+ Minimum of a bachelor's degree in electrical engineering, computer engineering, or equivalent with extensive industry experience.
+ 5+ years of management experience in hardware development
+ 10+ years of experience in hardware design and testing.
+ Expertise in 5G, BT, Wi-Fi, BLE, UWB, and NFC technologies with a strong understanding of their application in vehicle Connectivity systems.
+ Strong proficiency in PCB design including schematics and layout using industry-standard tools (e.g., Xpedition, Altium, Eagle, KiCad).
+ Experience with hardware debugging tools such as oscilloscopes, logic analyzers, and signal generators.
+ Knowledge of embedded systems design and microcontroller architectures (ARM, etc.).
+ Excellent problem-solving skills with the ability to work through complex hardware and system issues.
+ Strong communication and teamwork skills, with the ability to collaborate effectively across multiple disciplines.
**What Will Give You A Competitive Edge (Preferred Skills)**
+ 15+ years of experience in hardware design and testing.
+ Master's degree in engineering related field.
+ Knowledge of automotive or access control systems.
+ Experience with wireless connectivity protocols, coexistence and desense techniques (e.g., BT, Wi-Fi, BLE, NFC, UWB).Familiarity with RF design and antenna systems.
This job may be eligible for relocation benefits.
**Company Vehicle:** Upon successful completion of a motor vehicle report review, you will be eligible to participate in a company vehicle evaluation program, through which you will be assigned a General Motors vehicle to drive and evaluate. Note: program participants are required to purchase/lease a qualifying GM vehicle every four years unless one of a limited number of exceptions applies.
**Compensation:** The compensation information is a good faith estimate only. It is based on what a successful applicant might be paid in accordance with applicable state laws. The compensation may not be representative for positions located outside of the California Bay Area.
The salary range for this role is $ $168,000 - 258,800.00. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position.
**About GM**
Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all.
**Why Join Us**
We believe we all must make a choice every day - individually and collectively - to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team.
**Benefits Overview**
From day one, we're looking out for your well-being-at work and at home-so you can focus on realizing your ambitions. Learn how GM supports a rewarding career that rewards you personally by visiting Total Rewards Resources ( .
**Non-Discrimination and Equal Employment Opportunities (U.S.)**
General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers.
All employment decisions are made on a non-discriminatory basis without regard to sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy or maternity status, sexual orientation, gender identity, status as a veteran or protected veteran, or any other similarly protected status in accordance with federal, state and local laws.
We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visit How we Hire ( .
**Accommodations**
General Motors offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, email ( ) us or call us at . In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.
We are leading the change to make our world better, safer and more equitable for all through our actions and how we behave. Learn more about:
**Our Company ( Culture**
**How we hire ( diverse team of employees bring their collective passion for engineering, technology and design to deliver on our vision of a world with Zero Crashes, Zero Emissions and Zero Congestion. We are looking for adventure-seekers and imaginative thought leaders to help us transform mobility.
Explore our global locations ( are determined to lead change for the world through technology, ingenuity and harnessing the creativity of our diverse team. Join us to help lead the change that will make our world better, safer and more equitable for all by becoming a member of GM's Talent Community (beamery.com) ( . As a part of our Talent Community, you will receive updates about GM, open roles, career insights and more.
Please note that filling out the form below will not add you to our Talent Community automatically; you will need to use the link above. If you are seeking to apply to a specific role, we encourage you to click "Apply Now" on the job posting of interest.
The policy of General Motors is to extend opportunities to qualified applicants and employees on an equal basis regardless of an individual's age, race, color, sex, religion, national origin, disability, sexual orientation, gender identity/expression or veteran status. Additionally, General Motors is committed to being an Equal Employment Opportunity Employer and offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, email us at .In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.
**Hybrid:** This means the successful candidate is expected to report to their primary location (Mountain View, CA OR Warren, MI) three times per week, at minimum.
**The Role**
Connectivity plays a pivotal role in using and advancing technology to offer unparalleled customer experience and develop revenue generating streams while acting as cornerstone to offer safety critical, hands-free driving solutions in line with General Motor's strong safety culture. We are seeking a highly skilled and motivated Connectivity Module Hardware Engineer with a strong background in 5G, BT, Wi-Fi, BLE, UWB, and NFC technologies. The ideal candidate will have 5+ years of management experience in hardware development as well as hands-on experience in hardware design, including system architecture, schematics capture, thermal analysis, and layout related to power circuitry, PCB flooring plan, RF front end, etc. to develop best in class Connectivity systems for General Motor's vehicles.
The Connectivity Module Hardware Engineering Manager will be responsible for managing a small team and leading the design, development, function/performance validation, and issue resolution, of hardware components and systems that support Connectivity technologies across all GM vehicles and architectures. This role is tightly coupled to cross-functional teams, including vehicle integration, product managers, and system engineers, to create secure and reliable Connectivity solutions and assist in defining future technology roadmaps and resolution of issues that arise throughout development and production.
**What You'll Do**
+ Hardware Design: Design, develop, and test Connectivity hardware systems, including microcontrollers, sensors, wireless communication modules (5G, BT, Wi-Fi, BLE, NFC, UWB), and power management circuits while maintaining module performance and signal integrity.
+ Architecture Design: Create detailed system architectures, schematics, layouts, and thermal analysis to ensure system performance requirements.
+ System Integration: Collaborate with vehicle integration and packaging teams to integrate digital key hardware systems into the broader vehicle electrical architecture ensuring optimal performance considering design constraints and tradeoffs.
+ Testing Plan: Contribute with the elaboration of Sanity and Deep Dive Tests Plan in component and vehicle levels.
+ Prototyping & Testing: Develop and validate prototypes, conduct rigorous testing, and ensure hardware meets function, signal integrity and performance requirements.
+ Troubleshooting & Debugging: Provide troubleshooting support for hardware-related issues, performing root-cause analysis and implementing corrective actions.
+ Collaboration: Work closely with internal teams to ensure all program deliveries and dates are met for design releases, vehicle integration, DFMEAs, testing, defect resolution, and product launch.
+ Technology Development: Stay abreast with the latest advancements in Connectivity technology and hardware design, in addition to recommending and implementing improvements to processes and products.
+ Sourcing: Support selection and provide direction to CMs throughout development process.
+ Compliance & Standards: Ensure all hardware designs comply with relevant industry standards (e.g., ISO/IEC, CE, FCC) and regulatory requirements.
+ Communication: Report to senior leaders on project status, roadblocks, and escalation requests.
**Your Skills & Abilities (Required Qualifications)**
+ Minimum of a bachelor's degree in electrical engineering, computer engineering, or equivalent with extensive industry experience.
+ 5+ years of management experience in hardware development
+ 10+ years of experience in hardware design and testing.
+ Expertise in 5G, BT, Wi-Fi, BLE, UWB, and NFC technologies with a strong understanding of their application in vehicle Connectivity systems.
+ Strong proficiency in PCB design including schematics and layout using industry-standard tools (e.g., Xpedition, Altium, Eagle, KiCad).
+ Experience with hardware debugging tools such as oscilloscopes, logic analyzers, and signal generators.
+ Knowledge of embedded systems design and microcontroller architectures (ARM, etc.).
+ Excellent problem-solving skills with the ability to work through complex hardware and system issues.
+ Strong communication and teamwork skills, with the ability to collaborate effectively across multiple disciplines.
**What Will Give You A Competitive Edge (Preferred Skills)**
+ 15+ years of experience in hardware design and testing.
+ Master's degree in engineering related field.
+ Knowledge of automotive or access control systems.
+ Experience with wireless connectivity protocols, coexistence and desense techniques (e.g., BT, Wi-Fi, BLE, NFC, UWB).Familiarity with RF design and antenna systems.
This job may be eligible for relocation benefits.
**Company Vehicle:** Upon successful completion of a motor vehicle report review, you will be eligible to participate in a company vehicle evaluation program, through which you will be assigned a General Motors vehicle to drive and evaluate. Note: program participants are required to purchase/lease a qualifying GM vehicle every four years unless one of a limited number of exceptions applies.
**Compensation:** The compensation information is a good faith estimate only. It is based on what a successful applicant might be paid in accordance with applicable state laws. The compensation may not be representative for positions located outside of the California Bay Area.
The salary range for this role is $ $168,000 - 258,800.00. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position.
**About GM**
Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all.
**Why Join Us**
We believe we all must make a choice every day - individually and collectively - to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team.
**Benefits Overview**
From day one, we're looking out for your well-being-at work and at home-so you can focus on realizing your ambitions. Learn how GM supports a rewarding career that rewards you personally by visiting Total Rewards Resources ( .
**Non-Discrimination and Equal Employment Opportunities (U.S.)**
General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers.
All employment decisions are made on a non-discriminatory basis without regard to sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy or maternity status, sexual orientation, gender identity, status as a veteran or protected veteran, or any other similarly protected status in accordance with federal, state and local laws.
We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visit How we Hire ( .
**Accommodations**
General Motors offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, email ( ) us or call us at . In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.
We are leading the change to make our world better, safer and more equitable for all through our actions and how we behave. Learn more about:
**Our Company ( Culture**
**How we hire ( diverse team of employees bring their collective passion for engineering, technology and design to deliver on our vision of a world with Zero Crashes, Zero Emissions and Zero Congestion. We are looking for adventure-seekers and imaginative thought leaders to help us transform mobility.
Explore our global locations ( are determined to lead change for the world through technology, ingenuity and harnessing the creativity of our diverse team. Join us to help lead the change that will make our world better, safer and more equitable for all by becoming a member of GM's Talent Community (beamery.com) ( . As a part of our Talent Community, you will receive updates about GM, open roles, career insights and more.
Please note that filling out the form below will not add you to our Talent Community automatically; you will need to use the link above. If you are seeking to apply to a specific role, we encourage you to click "Apply Now" on the job posting of interest.
The policy of General Motors is to extend opportunities to qualified applicants and employees on an equal basis regardless of an individual's age, race, color, sex, religion, national origin, disability, sexual orientation, gender identity/expression or veteran status. Additionally, General Motors is committed to being an Equal Employment Opportunity Employer and offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, email us at .In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.
View Now
8
Hardware Engineering Manager
78703 Austin, Texas
Insight Global
Posted 11 days ago
Job Viewed
Job Description
Job Description
Position Summary:
This position will functionally manage a Mechanical team of around 10 people located in USA and India. The Manager, Hardware Engineering will work within the Dover Fueling Solutions Regional Engineering team (North America) delivering product to DFS business unit and will report directly to the Director of Hardware Engineering for North America. As a working manager, the successful candidate will both contribute to product design and lead the design team. This position will be based on our Austin, Texas campus.
Key Responsibilities:
Oversee planning and execution of one of the Mechanical team developments executed and products maintained by the appropriate team members
Design develop, and document (using 3D CAD software) new and existing dispenser components and modules
Fabricate and assemble prototype components and modules
Develop design verification test methods
Manage one (or multiple) dispenser product line projects; liaise with electronics and software design departments, Manufacturing and Purchasing
Participate in the integration of the hardware modules in the final platform and product
Participate in field support and maintenance of the systems
Provide full Technical Documentation for all developments
Develop KPIs to demonstrate and improve team efficiency and product quality and time-to-market
Coach, mentor, and oversee team's professional growth in terms of dispenser design; HW development processes (e.g. reviews, specs, designs, unit tests, engineering testing, etc.); documentation; and quality
Identify innovation ideas and spot cost reduction potentials in Manufacturing
Create detailed milestone and resource planning for all projects
Maintain department planning related to overhead, issue resolution, legacy support, NPD
Manage reporting demands that include weekly highlights report
Participate in weekly department meetings to review progress on status (target dates versus actual); other strategic issues; required investments; general department/team member issues; unforeseen delays and/or problems
Identify and implement processes, policies and procedures that optimize internal and external customer experience and operational effectiveness of the organization
Develop and lead initiatives to ensure continuous improvement in operating processes across the team and Engineering organization including establishing best practices that will provide a competitive advantage through NPI, Sustaining Product Support, Lifecycle Data Management, etc.
Drive a culture of root cause analysis and collaboration to drive appropriate corrective actions regardless of where the problems lie; hold team accountable to use hard data and metrics to support assumptions
Develop effective and sustainable partnerships with all key stakeholders in support of quality performance metrics through benchmarking, assessments and best practices
Recruit, develop, and retain a world-class team
Ability to work effectively with employees at every level, blue-collar thru executive-level employees
Engage on special projects as required
We are a company committed to creating inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity employer that believes everyone matters. Qualified candidates will receive consideration for employment opportunities without regard to race, religion, sex, age, marital status, national origin, sexual orientation, citizenship status, disability, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to Human Resources Request Form ( . The EEOC "Know Your Rights" Poster is available here ( .
To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: .
Skills and Requirements
Candidate Experience and Qualification:
Bachelors degree in Mechanical/Mechatronics Engineering with a minimum 10 years of experience or equivalent combination of education & experience and out of which minimum 3-5 years in people management.
Prior experience in leading and developing an Engineering development team
Practical experience in the following: Fabricated and formed sheet metal parts
- Fluid handling components made from cast metal (sand cast, die cast aluminum and grey iron)
- Injection molded plastic and elastomeric parts
- Machined aluminum, steel and plastic parts
- Fluid handling systems
Demonstrated effective leadership, results oriented, and strong work ethic
Excellent communication skills, both written and oral
Ability to work in a fast-paced environment with changing priorities
Ability to influence others, regardless of reporting authority
Excellent analysis and problem-solving skills
Knowledge of UL hazardous area zoning requirements for fuel dispensers¬¬¬
Proficiency in SolidWorks CAD, PDM and ERP systems
Experience working in a manufacturing environment
Experience working in experimental/machine shops
Experience working on cross-functional design teams
Experience in a global environment a plus
Multidisciplinary engineering knowledge
Position Summary:
This position will functionally manage a Mechanical team of around 10 people located in USA and India. The Manager, Hardware Engineering will work within the Dover Fueling Solutions Regional Engineering team (North America) delivering product to DFS business unit and will report directly to the Director of Hardware Engineering for North America. As a working manager, the successful candidate will both contribute to product design and lead the design team. This position will be based on our Austin, Texas campus.
Key Responsibilities:
Oversee planning and execution of one of the Mechanical team developments executed and products maintained by the appropriate team members
Design develop, and document (using 3D CAD software) new and existing dispenser components and modules
Fabricate and assemble prototype components and modules
Develop design verification test methods
Manage one (or multiple) dispenser product line projects; liaise with electronics and software design departments, Manufacturing and Purchasing
Participate in the integration of the hardware modules in the final platform and product
Participate in field support and maintenance of the systems
Provide full Technical Documentation for all developments
Develop KPIs to demonstrate and improve team efficiency and product quality and time-to-market
Coach, mentor, and oversee team's professional growth in terms of dispenser design; HW development processes (e.g. reviews, specs, designs, unit tests, engineering testing, etc.); documentation; and quality
Identify innovation ideas and spot cost reduction potentials in Manufacturing
Create detailed milestone and resource planning for all projects
Maintain department planning related to overhead, issue resolution, legacy support, NPD
Manage reporting demands that include weekly highlights report
Participate in weekly department meetings to review progress on status (target dates versus actual); other strategic issues; required investments; general department/team member issues; unforeseen delays and/or problems
Identify and implement processes, policies and procedures that optimize internal and external customer experience and operational effectiveness of the organization
Develop and lead initiatives to ensure continuous improvement in operating processes across the team and Engineering organization including establishing best practices that will provide a competitive advantage through NPI, Sustaining Product Support, Lifecycle Data Management, etc.
Drive a culture of root cause analysis and collaboration to drive appropriate corrective actions regardless of where the problems lie; hold team accountable to use hard data and metrics to support assumptions
Develop effective and sustainable partnerships with all key stakeholders in support of quality performance metrics through benchmarking, assessments and best practices
Recruit, develop, and retain a world-class team
Ability to work effectively with employees at every level, blue-collar thru executive-level employees
Engage on special projects as required
We are a company committed to creating inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity employer that believes everyone matters. Qualified candidates will receive consideration for employment opportunities without regard to race, religion, sex, age, marital status, national origin, sexual orientation, citizenship status, disability, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to Human Resources Request Form ( . The EEOC "Know Your Rights" Poster is available here ( .
To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: .
Skills and Requirements
Candidate Experience and Qualification:
Bachelors degree in Mechanical/Mechatronics Engineering with a minimum 10 years of experience or equivalent combination of education & experience and out of which minimum 3-5 years in people management.
Prior experience in leading and developing an Engineering development team
Practical experience in the following: Fabricated and formed sheet metal parts
- Fluid handling components made from cast metal (sand cast, die cast aluminum and grey iron)
- Injection molded plastic and elastomeric parts
- Machined aluminum, steel and plastic parts
- Fluid handling systems
Demonstrated effective leadership, results oriented, and strong work ethic
Excellent communication skills, both written and oral
Ability to work in a fast-paced environment with changing priorities
Ability to influence others, regardless of reporting authority
Excellent analysis and problem-solving skills
Knowledge of UL hazardous area zoning requirements for fuel dispensers¬¬¬
Proficiency in SolidWorks CAD, PDM and ERP systems
Experience working in a manufacturing environment
Experience working in experimental/machine shops
Experience working on cross-functional design teams
Experience in a global environment a plus
Multidisciplinary engineering knowledge
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9