79 Research Engineer jobs in Santa Clara
Sr. R&D Software Engineer - Shockwave Medical
95054 Santa Clara, California
J&J Family of Companies
Posted today
Job Viewed
Job Description
At Johnson & Johnson,?we believe health is everything. Our strength in healthcare innovation empowers us to build a?world where complex diseases are prevented, treated, and cured,?where treatments are smarter and less invasive, and?solutions are personal?Through our expertise in Innovative Medicine and MedTech, we are uniquely positioned to innovate across the full spectrum of healthcare solutions today to deliver the breakthroughs of tomorrow, and profoundly impact health for humanity?Learn more at Function:**
R&D Product Development
**Job Sub** **Function:**
R&D Software/Systems Engineering
**Job Category:**
Scientific/Technology
**All Job Posting Locations:**
Santa Clara, California, United States of America
**Job Description:**
Johnson & Johnson is hiring for a **Sr.** **R&D Software Engineer - Shockwave** to join our team located in **Santa Clara, CA** .
At Johnson & Johnson, we believe health is everything. Our strength in healthcare innovation empowers us to build a world where complex diseases are prevented, treated, and cured, where treatments are smarter and less invasive, and solutions are personal. Through our expertise in Innovative Medicine and MedTech, we are uniquely positioned to innovate across the full spectrum of healthcare solutions today to deliver the breakthroughs of tomorrow, and profoundly impact health for humanity. Learn more at .
Fueled by innovation at the intersection of biology and technology, we're developing the next generation of smarter, less invasive, more personalized treatments. Ready to join a team that's pioneering the development and commercialization of Intravascular Lithotripsy (IVL) to treat complex calcified cardiovascular disease. Our Shockwave Medical portfolio aims to establish a new standard of care for medical device treatment of atherosclerotic cardiovascular disease through its differentiated and proprietary local delivery of sonic pressure waves for the treatment of calcified plaque.
**Position Overview**
The Sr. R&D Software Engineer will be focused on Software Engineering and will use design and technical skills in the development of embedded software for innovative electronic products to treat peripheral and heart valve diseases. The Sr. R&D Software Engineer will participate on multiple cross-functional development teams that manage projects from concept through commercialization and will perform and support a variety of development and engineering activities focused on embedded software design and development.
**Essential Job Functions**
+ Design and develop software for medical device product(s) in full compliance with the company's Design Control requirements and consistent with FDA, ISO, and MDD requirements.
+ Participate on cross-functional development teams that manage projects from concept through commercialization.
+ Responsible for knowing and planning activities consistent with the company's quality policy and quality objectives.
+ Responsible for ensuring lab notebooks are documented in a timely manner and consistent with the applicable SOP.
+ Design and development of RTOS embedded software for use in medical devices.
+ Understanding of hardware communications drivers such as 1-Wire, I2C, SPI, RS232, USB, CAN communication protocols.
+ Development of technical specifications from Product Level requirements.
+ Development, execution, and documentation of test plans.
+ Development, execution and functional verification to medical device standards.
+ Initiate and conduct design reviews.
+ Support of medical device company audit processes.
+ Work with engineers in the development of design concepts.
+ Other duties as assigned.
**Requirements**
+ Bachelor's Degree in Computer Science or Electrical Engineering with 5+ years' experience in engineering preferably in the medical device industry or a master's degree in Computer Science or Electrical Engineering with 3+ years' experience in engineering preferably in the medical device industry.
+ Demonstrated Proficiency in C language programming, C++ is a plus/desirable.
+ Experience with discrete microprocessors and/or Medical Grade Single Board Computers.
+ Proficient in the use of software development tools including compilers, assemblers, emulators, and in-circuit debugging tools, Oscilloscopes and Logic Analyzers.
+ Develop firmware for embedded system in Bare Metal, RTOS and Linux environment.
+ Proficient in the use of issue tracking tools such as JIRA.
+ Proficient in the use of source control repository systems such as GIT.
+ Experience with Configuration Management, Automated Testing and Software V&V.
+ Effective communication skills with all levels of management.
+ Operate independently and adaptability to changing requirements.
+ Ability to work in a fast-paced environment, managing multiple priorities.
+ Experience in the development of medical devices.
+ Experience with lasers and pulse discharge systems a plus.
+ Operate as a team and/or independently while demonstrating flexibility to changing requirements.
+ Employee may be required to lift objects up to 25lbs.
**Additional Information:**
The anticipated salary range for this position is **$103,000-$85,000**
The Company maintains highly competitive, performance-based compensation programs. Under current guidelines, this position is eligible for an annual performance bonus in accordance with the terms of the applicable plan. The annual performance bonus is a cash bonus intended to provide an incentive to achieve annual targeted results by rewarding for individual and the corporation's performance over a calendar/performance year. Bonuses are awarded at the Company's discretion on an individual basis.
+ Employees and/or eligible dependents may be eligible to participate in the following Company sponsored employee benefit programs: medical, dental, vision, life insurance, short- and long-term disability, business accident insurance, and group legal insurance.
+ Employees may be eligible to participate in the Company's consolidated retirement plan (pension) and savings plan (401(k)).
+ This position is eligible to participate in the Company's long-term incentive program.
+ Employees are eligible for the following time off benefits:
+ Vacation - up to 120 hours per calendar year
+ Sick time - up to 40 hours per calendar year
+ Holiday pay, including Floating Holidays - up to 13 days per calendar year
+ Work, Personal and Family Time - up to 40 hours per calendar year
+ Additional information can be found through the link below. compensation and benefits information set forth in this posting applies to candidates hired in the United States.
_· Johnson_ _& Johnson is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, age, national origin, disability, protected veteran status or other characteristics protected by federal, state or local law. We actively seek qualified candidates who are protected veterans and individuals with disabilities as defined under VEVRAA and Section 503 of the Rehabilitation Act._
_Johnson and Johnson is committed to providing an interview process that is inclusive of our applicants' needs. If you are an individual with a disability and would like to request an accommodation, please email the Employee Health Support Center_ _( )_ _or contact AskGS to be directed to your accommodation resource._
_._
**The anticipated base pay range for this position is :**
$ 03,000 - 189,000
Additional Description for Pay Transparency:
The Company maintains highly competitive, performance-based compensation programs. Under current guidelines, this position is eligible for an annual performance bonus in accordance with the terms of the applicable plan. The annual performance bonus is a cash bonus intended to provide an incentive to achieve annual targeted results by rewarding for individual and the corporation's performance over a calendar/performance year. Bonuses are awarded at the Company's discretion on an individual basis. Employees and/or eligible dependents may be eligible to participate in the following Company sponsored employee benefit programs: medical, dental, vision, life insurance, short- and long-term disability, business accident insurance, and group legal insurance. Employees may be eligible to participate in the Company's consolidated retirement plan (pension) and savings plan (401(k)). This position is eligible to participate in the Company's long-term incentive program. Employees are eligible for the following time off benefits: Vacation - up to 120 hours per calendar year Sick time - up to 40 hours per calendar year; for employees who reside in the State of Washington - up to 56 hours per calendar year Holiday pay, including Floating Holidays - up to 13 days per calendar year of Work, Personal and Family Time - up to 40 hours per calendar year Additional information can be found through the link below.
R&D Product Development
**Job Sub** **Function:**
R&D Software/Systems Engineering
**Job Category:**
Scientific/Technology
**All Job Posting Locations:**
Santa Clara, California, United States of America
**Job Description:**
Johnson & Johnson is hiring for a **Sr.** **R&D Software Engineer - Shockwave** to join our team located in **Santa Clara, CA** .
At Johnson & Johnson, we believe health is everything. Our strength in healthcare innovation empowers us to build a world where complex diseases are prevented, treated, and cured, where treatments are smarter and less invasive, and solutions are personal. Through our expertise in Innovative Medicine and MedTech, we are uniquely positioned to innovate across the full spectrum of healthcare solutions today to deliver the breakthroughs of tomorrow, and profoundly impact health for humanity. Learn more at .
Fueled by innovation at the intersection of biology and technology, we're developing the next generation of smarter, less invasive, more personalized treatments. Ready to join a team that's pioneering the development and commercialization of Intravascular Lithotripsy (IVL) to treat complex calcified cardiovascular disease. Our Shockwave Medical portfolio aims to establish a new standard of care for medical device treatment of atherosclerotic cardiovascular disease through its differentiated and proprietary local delivery of sonic pressure waves for the treatment of calcified plaque.
**Position Overview**
The Sr. R&D Software Engineer will be focused on Software Engineering and will use design and technical skills in the development of embedded software for innovative electronic products to treat peripheral and heart valve diseases. The Sr. R&D Software Engineer will participate on multiple cross-functional development teams that manage projects from concept through commercialization and will perform and support a variety of development and engineering activities focused on embedded software design and development.
**Essential Job Functions**
+ Design and develop software for medical device product(s) in full compliance with the company's Design Control requirements and consistent with FDA, ISO, and MDD requirements.
+ Participate on cross-functional development teams that manage projects from concept through commercialization.
+ Responsible for knowing and planning activities consistent with the company's quality policy and quality objectives.
+ Responsible for ensuring lab notebooks are documented in a timely manner and consistent with the applicable SOP.
+ Design and development of RTOS embedded software for use in medical devices.
+ Understanding of hardware communications drivers such as 1-Wire, I2C, SPI, RS232, USB, CAN communication protocols.
+ Development of technical specifications from Product Level requirements.
+ Development, execution, and documentation of test plans.
+ Development, execution and functional verification to medical device standards.
+ Initiate and conduct design reviews.
+ Support of medical device company audit processes.
+ Work with engineers in the development of design concepts.
+ Other duties as assigned.
**Requirements**
+ Bachelor's Degree in Computer Science or Electrical Engineering with 5+ years' experience in engineering preferably in the medical device industry or a master's degree in Computer Science or Electrical Engineering with 3+ years' experience in engineering preferably in the medical device industry.
+ Demonstrated Proficiency in C language programming, C++ is a plus/desirable.
+ Experience with discrete microprocessors and/or Medical Grade Single Board Computers.
+ Proficient in the use of software development tools including compilers, assemblers, emulators, and in-circuit debugging tools, Oscilloscopes and Logic Analyzers.
+ Develop firmware for embedded system in Bare Metal, RTOS and Linux environment.
+ Proficient in the use of issue tracking tools such as JIRA.
+ Proficient in the use of source control repository systems such as GIT.
+ Experience with Configuration Management, Automated Testing and Software V&V.
+ Effective communication skills with all levels of management.
+ Operate independently and adaptability to changing requirements.
+ Ability to work in a fast-paced environment, managing multiple priorities.
+ Experience in the development of medical devices.
+ Experience with lasers and pulse discharge systems a plus.
+ Operate as a team and/or independently while demonstrating flexibility to changing requirements.
+ Employee may be required to lift objects up to 25lbs.
**Additional Information:**
The anticipated salary range for this position is **$103,000-$85,000**
The Company maintains highly competitive, performance-based compensation programs. Under current guidelines, this position is eligible for an annual performance bonus in accordance with the terms of the applicable plan. The annual performance bonus is a cash bonus intended to provide an incentive to achieve annual targeted results by rewarding for individual and the corporation's performance over a calendar/performance year. Bonuses are awarded at the Company's discretion on an individual basis.
+ Employees and/or eligible dependents may be eligible to participate in the following Company sponsored employee benefit programs: medical, dental, vision, life insurance, short- and long-term disability, business accident insurance, and group legal insurance.
+ Employees may be eligible to participate in the Company's consolidated retirement plan (pension) and savings plan (401(k)).
+ This position is eligible to participate in the Company's long-term incentive program.
+ Employees are eligible for the following time off benefits:
+ Vacation - up to 120 hours per calendar year
+ Sick time - up to 40 hours per calendar year
+ Holiday pay, including Floating Holidays - up to 13 days per calendar year
+ Work, Personal and Family Time - up to 40 hours per calendar year
+ Additional information can be found through the link below. compensation and benefits information set forth in this posting applies to candidates hired in the United States.
_· Johnson_ _& Johnson is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, age, national origin, disability, protected veteran status or other characteristics protected by federal, state or local law. We actively seek qualified candidates who are protected veterans and individuals with disabilities as defined under VEVRAA and Section 503 of the Rehabilitation Act._
_Johnson and Johnson is committed to providing an interview process that is inclusive of our applicants' needs. If you are an individual with a disability and would like to request an accommodation, please email the Employee Health Support Center_ _( )_ _or contact AskGS to be directed to your accommodation resource._
_._
**The anticipated base pay range for this position is :**
$ 03,000 - 189,000
Additional Description for Pay Transparency:
The Company maintains highly competitive, performance-based compensation programs. Under current guidelines, this position is eligible for an annual performance bonus in accordance with the terms of the applicable plan. The annual performance bonus is a cash bonus intended to provide an incentive to achieve annual targeted results by rewarding for individual and the corporation's performance over a calendar/performance year. Bonuses are awarded at the Company's discretion on an individual basis. Employees and/or eligible dependents may be eligible to participate in the following Company sponsored employee benefit programs: medical, dental, vision, life insurance, short- and long-term disability, business accident insurance, and group legal insurance. Employees may be eligible to participate in the Company's consolidated retirement plan (pension) and savings plan (401(k)). This position is eligible to participate in the Company's long-term incentive program. Employees are eligible for the following time off benefits: Vacation - up to 120 hours per calendar year Sick time - up to 40 hours per calendar year; for employees who reside in the State of Washington - up to 56 hours per calendar year Holiday pay, including Floating Holidays - up to 13 days per calendar year of Work, Personal and Family Time - up to 40 hours per calendar year Additional information can be found through the link below.
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0
Software Research Engineer
95053 Santa Clara, California
Integrated Resources
Posted 5 days ago
Job Viewed
Job Description
Integrated Resources, Inc., is led by a seasoned team with combined decades in the industry. We deliver strategic workforce solutions that help you manage your talent and business more efficiently and effectively. Since launching in 1996, IRI has attracted, assembled and retained key employees who are experts in their fields. This has helped us expand into new sectors and steadily grow.
Description:
We are looking for a passionate software research engineer to develop demos and conduct simulation studies for state-of-the-art artificial intelligence applications.
Responsibilities:
Deliver high-quality work results on time
Write well designed testable, efficient code
Develop use case studies in a simulation tool
Proactive with project discussions and planning
Propose ideas to improve identified problems/issues during the development process
Requirements:
Excellent ability to program in C/C++
Ability to conduct in-depth simulation results analysis and document analysis results
Knowledge of object tracking and data association methods preferred
Knowledge of probabilistic environment modeling and detection methods preferred
Knowledge of artificial intelligence/machine learning algorithms preferred
One-year work experience or intern work experience preferred
QualificationsMaster degree in computer science or engineering or above
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1
Research Engineer (Robotics)
94536 Fremont, California
Meta
Posted today
Job Viewed
Job Description
**Summary:**
Meta is seeking a Research Engineer to join the Fundamental AI Research organization (FAIR), a research organization focused on making significant progress in AI. As a Research Engineer on the Robotics team at FAIR, you will be part of an innovative group of research scientists and engineers working on cutting-edge AI technologies for robotics, and sharing this research with the world. You will play a crucial role in developing novel AI advances and deploying them onto robot platforms, and have the opportunity to drive the research in directions which improve robot performance. This role offers an exciting opportunity to work at the forefront of AI and robotics.
**Required Skills:**
Research Engineer (Robotics) Responsibilities:
1. Collaborate with research scientists and engineers to design and implement state-of-the-art AI algorithms and models on real robot hardware and simulation environments
2. Design and conduct thorough evaluations of AI models on real-world robotic systems, identifying limitations, and proposing improvements to enhance their performance and robustness
3. Work closely with researchers on the team to define technical goals and lead implementation
4. Publish research results and contribute to research that impacts Meta product development
**Minimum Qualifications:**
Minimum Qualifications:
5. Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
6. 2+ years of industry experience in robotics or related field, or advanced degree with equivalent experience
7. Experience in robotics related research areas, such as: robot learning, reinforcement learning, imitation learning, action-conditioned world models, task and motion planning, sim-to-real transfer robotic control, manipulation, navigation, or generally embodied AI
8. Experience with machine learning models, and frameworks such as PyTorch, TensorFlow, etc
9. Proficiency in programming languages such as Python, C++, or similar
**Preferred Qualifications:**
Preferred Qualifications:
10. Experience designing and developing new robotic systems, platforms or infrastructure.
11. Proven track record of achieving significant results as demonstrated by grants, fellowships, patents, as well as publications at leading workshops, journals or conferences in Machine Learning (NeurIPS, ICML, ICLR), Robotics (ICRA, IROS, RSS, CoRL), Computer Vision (CVPR, ICCV, ECCV).
12. 5+ years of industry experience, or advanced degree with equivalent experience.
13. PhD degree in computer science, robotics, AI, or related fields.
14. Experience with robotics frameworks like ROS, along with experience working with robot simulations and real-world hardware.
15. Experience with manipulating and analyzing complex, large scale, high-dimensionality data from varying sources.
16. Experience solving complex problems and comparing alternative solutions, tradeoffs, and diverse points of view to determine a path forward.
17. Experience working and communicating cross functionally in a team environment.
18. Proven knowledge of robotics fundamentals (perception, planning, control)
19. Experience building systems based on machine learning and/or deep learning methods.
**Public Compensation:**
$70.67/hour to $208,000/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
Meta is seeking a Research Engineer to join the Fundamental AI Research organization (FAIR), a research organization focused on making significant progress in AI. As a Research Engineer on the Robotics team at FAIR, you will be part of an innovative group of research scientists and engineers working on cutting-edge AI technologies for robotics, and sharing this research with the world. You will play a crucial role in developing novel AI advances and deploying them onto robot platforms, and have the opportunity to drive the research in directions which improve robot performance. This role offers an exciting opportunity to work at the forefront of AI and robotics.
**Required Skills:**
Research Engineer (Robotics) Responsibilities:
1. Collaborate with research scientists and engineers to design and implement state-of-the-art AI algorithms and models on real robot hardware and simulation environments
2. Design and conduct thorough evaluations of AI models on real-world robotic systems, identifying limitations, and proposing improvements to enhance their performance and robustness
3. Work closely with researchers on the team to define technical goals and lead implementation
4. Publish research results and contribute to research that impacts Meta product development
**Minimum Qualifications:**
Minimum Qualifications:
5. Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
6. 2+ years of industry experience in robotics or related field, or advanced degree with equivalent experience
7. Experience in robotics related research areas, such as: robot learning, reinforcement learning, imitation learning, action-conditioned world models, task and motion planning, sim-to-real transfer robotic control, manipulation, navigation, or generally embodied AI
8. Experience with machine learning models, and frameworks such as PyTorch, TensorFlow, etc
9. Proficiency in programming languages such as Python, C++, or similar
**Preferred Qualifications:**
Preferred Qualifications:
10. Experience designing and developing new robotic systems, platforms or infrastructure.
11. Proven track record of achieving significant results as demonstrated by grants, fellowships, patents, as well as publications at leading workshops, journals or conferences in Machine Learning (NeurIPS, ICML, ICLR), Robotics (ICRA, IROS, RSS, CoRL), Computer Vision (CVPR, ICCV, ECCV).
12. 5+ years of industry experience, or advanced degree with equivalent experience.
13. PhD degree in computer science, robotics, AI, or related fields.
14. Experience with robotics frameworks like ROS, along with experience working with robot simulations and real-world hardware.
15. Experience with manipulating and analyzing complex, large scale, high-dimensionality data from varying sources.
16. Experience solving complex problems and comparing alternative solutions, tradeoffs, and diverse points of view to determine a path forward.
17. Experience working and communicating cross functionally in a team environment.
18. Proven knowledge of robotics fundamentals (perception, planning, control)
19. Experience building systems based on machine learning and/or deep learning methods.
**Public Compensation:**
$70.67/hour to $208,000/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
Wireless Research Engineer
94086 Sunnyvale, California
Bosch
Posted today
Job Viewed
Job Description
**Company Description**
**We Are Bosch.**
At Bosch, we shape the future by inventing high-quality technologies and services that spark enthusiasm and enrich people's lives. Our areas of activity are every bit as diverse as our outstanding Bosch teams around the world. Their creativity is the key to innovation through connected living, mobility, or industry.
Let's grow together, enjoy more, and inspire each other. **Work #LikeABosch**
+ **Reinvent yourself:** At Bosch, you will evolve.
+ **Discover new directions:** At Bosch, you will find your place.
+ **Balance your life:** At Bosch, your job matches your lifestyle.
+ **Celebrate success:** At Bosch, we celebrate you.
+ **Be yourself:** At Bosch, we value values.
+ **Shape tomorrow:** At Bosch, you change lives.
Do you want beneficial technologies being shaped your ideas? Whether in the areas of mobility solutions, consumer goods, industrial technology or energy and building technology - with us, you will have the chance to improve quality of life all across the globe. Welcome to Bosch.
**Job Description**
+ Drive applied research in the area of next generation communication and sensing systems
+ Design and develop innovative intelligent wireless solutions with focus on advanced signal processing and AI/ML.
+ Design and develop software to implement proof of concept prototypes.
+ Conduct performance analysis and feasibility studies using simulations, experiments, analytical modeling.
+ Closely monitor state-of-the-art developments in academia, industry, and standardization activities (e.g. ZigBee, Wi-Fi, Bluetooth, UWB, etc.)
+ Present results to management and others in organization.
+ Develop and drive innovative ideas from scouting to projects
+ Publish research work in the form of patents and conference/journal publications
+ Work in a highly diverse, international, and cross disciplinary environment.
**Qualifications**
**Basic Qualifications**
+ PhD in Computer Science or Electrical Engineering
+ Experience in wireless communication, signal processing and machine learning.
+ Experience in wireless sensing techniques: RSSI, ToF, CSI, CIR
+ Experienced in using different machine learning libraries and tools (e.g. TensorFlow)
+ Experience with wireless standards (IEEE 802.11x, 802.15.4, BLE)
**Preferred Qualifications**
+ Strong C and Python programming skills
+ Embedded programming experience is a big plus
+ Excellent communication and collaboration skills
**Additional Information**
The U.S. base salary range for this full-time position is $140,000 - $160,000. Within the range, individual pay is determined based on several factors, including, but not limited to, work experience and job knowledge, complexity of the role, job location, etc. Your Recruiter can share more details about the specific salary range for this position during the interview process.
In addition to your base salary, Bosch offers a comprehensive benefits package that includes health, dental, and vision plans; health savings accounts (HSA); flexible spending accounts; 401(K) retirement plans with an employer match; wellness programs; life insurance; short- and long-term disability insurance; paid time off; parental leave, adoption assistance; and reimbursement of education expenses.
**_Equal Opportunity Employer, including disability / veterans._**
_*Bosch adheres to Federal, State, and Local laws regarding drug-testing. Employment is contingent upon the successful completion of a drug screen and background check. Candidates who have been offered the position must pass both screenings before their start date._
For more information on our culture and benefits, please visit:
Culture and Benefits | Bosch in the USA (
**We Are Bosch.**
At Bosch, we shape the future by inventing high-quality technologies and services that spark enthusiasm and enrich people's lives. Our areas of activity are every bit as diverse as our outstanding Bosch teams around the world. Their creativity is the key to innovation through connected living, mobility, or industry.
Let's grow together, enjoy more, and inspire each other. **Work #LikeABosch**
+ **Reinvent yourself:** At Bosch, you will evolve.
+ **Discover new directions:** At Bosch, you will find your place.
+ **Balance your life:** At Bosch, your job matches your lifestyle.
+ **Celebrate success:** At Bosch, we celebrate you.
+ **Be yourself:** At Bosch, we value values.
+ **Shape tomorrow:** At Bosch, you change lives.
Do you want beneficial technologies being shaped your ideas? Whether in the areas of mobility solutions, consumer goods, industrial technology or energy and building technology - with us, you will have the chance to improve quality of life all across the globe. Welcome to Bosch.
**Job Description**
+ Drive applied research in the area of next generation communication and sensing systems
+ Design and develop innovative intelligent wireless solutions with focus on advanced signal processing and AI/ML.
+ Design and develop software to implement proof of concept prototypes.
+ Conduct performance analysis and feasibility studies using simulations, experiments, analytical modeling.
+ Closely monitor state-of-the-art developments in academia, industry, and standardization activities (e.g. ZigBee, Wi-Fi, Bluetooth, UWB, etc.)
+ Present results to management and others in organization.
+ Develop and drive innovative ideas from scouting to projects
+ Publish research work in the form of patents and conference/journal publications
+ Work in a highly diverse, international, and cross disciplinary environment.
**Qualifications**
**Basic Qualifications**
+ PhD in Computer Science or Electrical Engineering
+ Experience in wireless communication, signal processing and machine learning.
+ Experience in wireless sensing techniques: RSSI, ToF, CSI, CIR
+ Experienced in using different machine learning libraries and tools (e.g. TensorFlow)
+ Experience with wireless standards (IEEE 802.11x, 802.15.4, BLE)
**Preferred Qualifications**
+ Strong C and Python programming skills
+ Embedded programming experience is a big plus
+ Excellent communication and collaboration skills
**Additional Information**
The U.S. base salary range for this full-time position is $140,000 - $160,000. Within the range, individual pay is determined based on several factors, including, but not limited to, work experience and job knowledge, complexity of the role, job location, etc. Your Recruiter can share more details about the specific salary range for this position during the interview process.
In addition to your base salary, Bosch offers a comprehensive benefits package that includes health, dental, and vision plans; health savings accounts (HSA); flexible spending accounts; 401(K) retirement plans with an employer match; wellness programs; life insurance; short- and long-term disability insurance; paid time off; parental leave, adoption assistance; and reimbursement of education expenses.
**_Equal Opportunity Employer, including disability / veterans._**
_*Bosch adheres to Federal, State, and Local laws regarding drug-testing. Employment is contingent upon the successful completion of a drug screen and background check. Candidates who have been offered the position must pass both screenings before their start date._
For more information on our culture and benefits, please visit:
Culture and Benefits | Bosch in the USA (
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3
GPU Research Engineer
95054 Santa Clara, California
Qualcomm
Posted today
Job Viewed
Job Description
**Company:**
Qualcomm Technologies, Inc.
**Job Area:**
Engineering Group, Engineering Group > GPU ASICS Engineering
**General Summary:**
As a leading technology innovator, Qualcomm pushes the boundaries of what's possible to enable next-generation experiences and drives digital transformation to help create a smarter, connected future for all. As a Qualcomm GPU Engineer, you may architect, design, implement, verify, and/or optimize the performance and power of GPU cores. Qualcomm Engineers collaborate with cross-functional teams to meet and exceed customer needs.
**Minimum Qualifications:**
- Bachelor's degree in Computer Engineering, Computer Science, Electrical Engineering, or related field and 2+ years of Software Engineering, Hardware Engineering, Systems Engineering, or related work experience.
OR
Master's degree in Computer Engineering, Computer Science, Electrical Engineering, or related field and 1+ year of Software Engineering, Hardware Engineering, Systems Engineering, or related work experience.
OR
PhD in Computer Engineering, Computer Science, Electrical Engineering, or related field.
**Preferred Qualifications:**
- Master's degree or PhD in Computer Engineering, Computer Science, Electrical Engineering, or related field.
- 2+ years of relevant GPU experience.
**Principal Duties and Responsibilities:**
- Applies GPU knowledge and experience to architect, design, implement, verify, and/or optimize the performance and power of GPU cores.
- Builds functional model simulations, develops software, and tests for various graphics to verify correctness and ensures performance and power goals are met.
- Programs and runs graphics tests using tools and methods to assess functionality, performance, and power and identify issues.
- Collaborates with teams, third-party vendors, and external users to guide implementation and ensure alignment with needs and goals.
- Develops driver and compiler software to support GPU products.
- Writes detailed technical documentation and feature descriptions for GPU projects to guide users and/or customers to use or implement software.
**Level of Responsibility:**
- Works under supervision.
- Decision-making may affect work beyond immediate work group.
- Requires verbal and written communication skills to convey information. May require basic negotiation, influence, tact, etc.
- Has a moderate amount of influence over key organizational decisions.
- Tasks require multiple steps which can be performed in various orders; some planning, problem-solving, and prioritization must occur to complete the tasks effectively.
Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, rest assured that Qualcomm is committed to providing an accessible process. You may e-mail or call Qualcomm's toll-free number found here ( . Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to be able participate in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities. (Keep in mind that this email address is used to provide reasonable accommodations for individuals with disabilities. We will not respond here to requests for updates on applications or resume inquiries).
**To all Staffing and Recruiting Agencies** : Our Careers Site is only for individuals seeking a job at Qualcomm. Staffing and recruiting agencies and individuals being represented by an agency are not authorized to use this site or to submit profiles, applications or resumes, and any such submissions will be considered unsolicited. Qualcomm does not accept unsolicited resumes or applications from agencies. Please do not forward resumes to our jobs alias, Qualcomm employees or any other company location. Qualcomm is not responsible for any fees related to unsolicited resumes/applications.
**EEO Employer: Qualcomm is an equal opportunity employer; all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or any other protected classification.**
Qualcomm expects its employees to abide by all applicable policies and procedures, including but not limited to security and other requirements regarding protection of Company confidential information and other confidential and/or proprietary information, to the extent those requirements are permissible under applicable law.
**Pay range** **and Other Compensation & Benefits** **:**
$182,200.00 - $273,400.00
The above pay scale reflects the broad, minimum to maximum, pay scale for this job code for the location for which it has been posted. Even more importantly, please note that salary is only one component of total compensation at Qualcomm. We also offer a competitive annual discretionary bonus program and opportunity for annual RSU grants (employees on sales-incentive plans are not eligible for our annual bonus). In addition, our highly competitive benefits package is designed to support your success at work, at home, and at play. Your recruiter will be happy to discuss all that Qualcomm has to offer - and you can review more details about our US benefits at this link .
If you would like more information about this role, please contact Qualcomm Careers ( .
EEO Employer: Qualcomm is an equal opportunity employer; all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or any other protected classification
Qualcomm Technologies, Inc.
**Job Area:**
Engineering Group, Engineering Group > GPU ASICS Engineering
**General Summary:**
As a leading technology innovator, Qualcomm pushes the boundaries of what's possible to enable next-generation experiences and drives digital transformation to help create a smarter, connected future for all. As a Qualcomm GPU Engineer, you may architect, design, implement, verify, and/or optimize the performance and power of GPU cores. Qualcomm Engineers collaborate with cross-functional teams to meet and exceed customer needs.
**Minimum Qualifications:**
- Bachelor's degree in Computer Engineering, Computer Science, Electrical Engineering, or related field and 2+ years of Software Engineering, Hardware Engineering, Systems Engineering, or related work experience.
OR
Master's degree in Computer Engineering, Computer Science, Electrical Engineering, or related field and 1+ year of Software Engineering, Hardware Engineering, Systems Engineering, or related work experience.
OR
PhD in Computer Engineering, Computer Science, Electrical Engineering, or related field.
**Preferred Qualifications:**
- Master's degree or PhD in Computer Engineering, Computer Science, Electrical Engineering, or related field.
- 2+ years of relevant GPU experience.
**Principal Duties and Responsibilities:**
- Applies GPU knowledge and experience to architect, design, implement, verify, and/or optimize the performance and power of GPU cores.
- Builds functional model simulations, develops software, and tests for various graphics to verify correctness and ensures performance and power goals are met.
- Programs and runs graphics tests using tools and methods to assess functionality, performance, and power and identify issues.
- Collaborates with teams, third-party vendors, and external users to guide implementation and ensure alignment with needs and goals.
- Develops driver and compiler software to support GPU products.
- Writes detailed technical documentation and feature descriptions for GPU projects to guide users and/or customers to use or implement software.
**Level of Responsibility:**
- Works under supervision.
- Decision-making may affect work beyond immediate work group.
- Requires verbal and written communication skills to convey information. May require basic negotiation, influence, tact, etc.
- Has a moderate amount of influence over key organizational decisions.
- Tasks require multiple steps which can be performed in various orders; some planning, problem-solving, and prioritization must occur to complete the tasks effectively.
Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, rest assured that Qualcomm is committed to providing an accessible process. You may e-mail or call Qualcomm's toll-free number found here ( . Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to be able participate in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities. (Keep in mind that this email address is used to provide reasonable accommodations for individuals with disabilities. We will not respond here to requests for updates on applications or resume inquiries).
**To all Staffing and Recruiting Agencies** : Our Careers Site is only for individuals seeking a job at Qualcomm. Staffing and recruiting agencies and individuals being represented by an agency are not authorized to use this site or to submit profiles, applications or resumes, and any such submissions will be considered unsolicited. Qualcomm does not accept unsolicited resumes or applications from agencies. Please do not forward resumes to our jobs alias, Qualcomm employees or any other company location. Qualcomm is not responsible for any fees related to unsolicited resumes/applications.
**EEO Employer: Qualcomm is an equal opportunity employer; all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or any other protected classification.**
Qualcomm expects its employees to abide by all applicable policies and procedures, including but not limited to security and other requirements regarding protection of Company confidential information and other confidential and/or proprietary information, to the extent those requirements are permissible under applicable law.
**Pay range** **and Other Compensation & Benefits** **:**
$182,200.00 - $273,400.00
The above pay scale reflects the broad, minimum to maximum, pay scale for this job code for the location for which it has been posted. Even more importantly, please note that salary is only one component of total compensation at Qualcomm. We also offer a competitive annual discretionary bonus program and opportunity for annual RSU grants (employees on sales-incentive plans are not eligible for our annual bonus). In addition, our highly competitive benefits package is designed to support your success at work, at home, and at play. Your recruiter will be happy to discuss all that Qualcomm has to offer - and you can review more details about our US benefits at this link .
If you would like more information about this role, please contact Qualcomm Careers ( .
EEO Employer: Qualcomm is an equal opportunity employer; all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or any other protected classification
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4
Machine Learning Research Engineer
95014 Monte Vista, California
ETCHED LLC
Posted 23 days ago
Job Viewed
Job Description
About Etched
Etched is building AI chips that are hard-coded for individual model architectures. Our first product (Sohu) only supports transformers, but has an order of magnitude more throughput and lower latency than a B200. With Etched ASICs, you can build products that would be impossible with GPUs, like real-time video generation models and extremely deep & parallel chain-of-thought reasoning agents. Etched Labs is the organization within Etched whose mission is to democratize generative AI, pushing the boundaries of what will be possible in a post-Sohu world.
Key responsibilities
How we're different
Etched believes in the Bitter Lesson. We think most of the progress in the AI field has come from using more FLOPs to train and run models, and the best way to get more FLOPs is to build model-specific hardware. Larger and larger training runs encourage companies to consolidate around fewer model architectures, which creates a market for single-model ASICs.
We are a fully in-person team in Cupertino, and greatly value engineering skills. We do not have boundaries between engineering and research, and we expect all of our technical staff to contribute to both as needed.
Etched is building AI chips that are hard-coded for individual model architectures. Our first product (Sohu) only supports transformers, but has an order of magnitude more throughput and lower latency than a B200. With Etched ASICs, you can build products that would be impossible with GPUs, like real-time video generation models and extremely deep & parallel chain-of-thought reasoning agents. Etched Labs is the organization within Etched whose mission is to democratize generative AI, pushing the boundaries of what will be possible in a post-Sohu world.
Key responsibilities
- Propose and conduct novel research to achieve results on Sohu that are unviable on GPUs
- Translate core mathematical operations from the most popular Transformer-based models into maximally performant instruction sequences for Sohu
- Develop deep architectural knowledge informing best-in-the-world software performance on Sohu HW, collaborating with HW architects and designers.
- Co-design and finetune emerging model architectures for highest efficiency on Sohu
- Guide and contribute to the Sohu software stack, performance characterization tools, and runtime abstractions by implementing frontier models using Python and Rust.
- Propose and implement a novel test time compute algorithm that leverages Sohu's unique capabilities to unlock a product could never be achieved on a typical GPU
- Implement diffusion models on Sohu to achieve GPU-impossible latencies that allow for real-time image generation
- Optimize model instructions and scheduling algorithms to optimize for utilization, latency, throughput, and/or a mix of these metrics.
- Implement model-specific inference-time acceleration techniques such as speculative decoding, tree search, KV cache sharing, priority scheduling, etc by interacting with the rest of the inference serving stack.
- An ML Research background with interests in HW co-design
- Experience with Python, Pytorch, and / or JAX
- Familiarity with transformer model architectures and/or inference serving stacks (vLLM, SGLang, etc.) and/or experience working in distributed inference/training environments
- Experience working cross-functionally in diverse software and hardware organizations
- ML Systems Research and HW Co-design backgrounds
- Published inference-time compute research and/or efficient ML research
- Experience with Rust
- Familiarity with GPU kernels, the CUDA compilation stack and related tools, or other hardware accelerators
- Full medical, dental, and vision packages, with 100% of premium covered
- Housing subsidy of $2,000/month for those living within walking distance of the office
- Daily lunch and dinner in our office
- Relocation support for those moving to Cupertino
How we're different
Etched believes in the Bitter Lesson. We think most of the progress in the AI field has come from using more FLOPs to train and run models, and the best way to get more FLOPs is to build model-specific hardware. Larger and larger training runs encourage companies to consolidate around fewer model architectures, which creates a market for single-model ASICs.
We are a fully in-person team in Cupertino, and greatly value engineering skills. We do not have boundaries between engineering and research, and we expect all of our technical staff to contribute to both as needed.
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5
Imaging Systems Research Engineer
94086 Sunnyvale, California
Meta
Posted today
Job Viewed
Job Description
**Summary:**
The Meta Imaging Experience Architecture (iXA) team is seeking an experienced Imaging Systems Engineer. As part of the iXA team you will have the unique opportunity to interact with the best-in-class architects, scientists, and engineers working to define the future of display. At Meta, our goal is to build products that provide optimal content reproduction for each device. Content fidelity and consistency is critical to the success of Meta devices that feature displays. To this end, we must architect pipelines that ensure that color rendering appears consistent from device to device, regardless of the display or camera and viewing conditions.Our team works on creating and programming display and camera pipelines, with an emphasis on rapid prototyping of new architectural concepts on proof-of-concept devices. Focus areas are general image processing, color transformations, tone mapping, and foveated color processing. The role requires a basic understanding of AR systems and components, and will leverage this knowledge to build display imaging systems/subsystems on prototype platforms that could eventually lead to future product insertion.
**Required Skills:**
Imaging Systems Research Engineer Responsibilities:
1. Interact with architecture team members to select and configure prototype devices suitable for demonstration of new display pipeline concepts
2. Implement real time display color processing pipelines using GPU, CPU/MCU, or HW resources available on prototype devices
3. Collaborate with partner teams to foster the transition of proof-of-concept technologies to eventual product insertion
4. Test and characterize new display color rendering solutions on both commercially available devices and testbed prototypes
5. Evaluate HW devices for display and wearable prototypes integration and collaborate with team members to develop system solutions for interoperating with imaging pipeline
6. Support ancillary efforts for HDR, display rendering, metrics and other topics that include color as a key feature
**Minimum Qualifications:**
Minimum Qualifications:
7. Currently has, or is in the process of obtaining a Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience. Degree must be completed prior to joining Meta
8. Ph.D. in engineering, vision science, computer science, or related fields, or equivalent combination of education and experience
9. Experience with programming using OpenGL/OpenCL, C++, Matlab, Python, or similar programming languages
10. Experience using standard lab equipment for camera/display measurement and testing
11. Understanding of color spaces, colorimetry, metrology, color measurement and calibration
12. Experience working cross-functionally
13. Must obtain work authorization in the country of employment at the time of hire, and maintain ongoing work authorization during employment
**Preferred Qualifications:**
Preferred Qualifications:
14. Experience with Unity and real-time rendering a plus
15. 1+ year of industry experience designing and building in color imaging and image processing pipelines
16. Knowledge of AR/VR systems, including optics, image processing, perception
17. Familiarity with embedded devices, interfaces and system architectures and OS (Operating System)
18. Demonstrated software engineering experience
19. Knowledge of AR hardware systems, dealing with optics, electronics and prototyping platforms
20. Proven track record of achieving significant technical results in industry, demonstrated by impact on relevant product pipelines
21. Experience with image processing pipelines architectural designs, including graphics and rendering, familiarity with AR and VR systems
**Public Compensation:**
$117,000/year to $173,000/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
The Meta Imaging Experience Architecture (iXA) team is seeking an experienced Imaging Systems Engineer. As part of the iXA team you will have the unique opportunity to interact with the best-in-class architects, scientists, and engineers working to define the future of display. At Meta, our goal is to build products that provide optimal content reproduction for each device. Content fidelity and consistency is critical to the success of Meta devices that feature displays. To this end, we must architect pipelines that ensure that color rendering appears consistent from device to device, regardless of the display or camera and viewing conditions.Our team works on creating and programming display and camera pipelines, with an emphasis on rapid prototyping of new architectural concepts on proof-of-concept devices. Focus areas are general image processing, color transformations, tone mapping, and foveated color processing. The role requires a basic understanding of AR systems and components, and will leverage this knowledge to build display imaging systems/subsystems on prototype platforms that could eventually lead to future product insertion.
**Required Skills:**
Imaging Systems Research Engineer Responsibilities:
1. Interact with architecture team members to select and configure prototype devices suitable for demonstration of new display pipeline concepts
2. Implement real time display color processing pipelines using GPU, CPU/MCU, or HW resources available on prototype devices
3. Collaborate with partner teams to foster the transition of proof-of-concept technologies to eventual product insertion
4. Test and characterize new display color rendering solutions on both commercially available devices and testbed prototypes
5. Evaluate HW devices for display and wearable prototypes integration and collaborate with team members to develop system solutions for interoperating with imaging pipeline
6. Support ancillary efforts for HDR, display rendering, metrics and other topics that include color as a key feature
**Minimum Qualifications:**
Minimum Qualifications:
7. Currently has, or is in the process of obtaining a Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience. Degree must be completed prior to joining Meta
8. Ph.D. in engineering, vision science, computer science, or related fields, or equivalent combination of education and experience
9. Experience with programming using OpenGL/OpenCL, C++, Matlab, Python, or similar programming languages
10. Experience using standard lab equipment for camera/display measurement and testing
11. Understanding of color spaces, colorimetry, metrology, color measurement and calibration
12. Experience working cross-functionally
13. Must obtain work authorization in the country of employment at the time of hire, and maintain ongoing work authorization during employment
**Preferred Qualifications:**
Preferred Qualifications:
14. Experience with Unity and real-time rendering a plus
15. 1+ year of industry experience designing and building in color imaging and image processing pipelines
16. Knowledge of AR/VR systems, including optics, image processing, perception
17. Familiarity with embedded devices, interfaces and system architectures and OS (Operating System)
18. Demonstrated software engineering experience
19. Knowledge of AR hardware systems, dealing with optics, electronics and prototyping platforms
20. Proven track record of achieving significant technical results in industry, demonstrated by impact on relevant product pipelines
21. Experience with image processing pipelines architectural designs, including graphics and rendering, familiarity with AR and VR systems
**Public Compensation:**
$117,000/year to $173,000/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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6
Research Engineer, Monetization AI
94086 Sunnyvale, California
Meta
Posted today
Job Viewed
Job Description
**Summary:**
We are the Monetization Ranking AI Research organization, dedicated to delivering personalized ads that maximize both user utility and advertiser value. We focus on advancing AI and ML technologies for all aspects of Monetization, including ranking, retrieval, model architecture, and optimization. By consistently integrating cutting-edge AI/ML advancements, we help Meta's products achieve long-term goals and have contributed tens of billions in revenue. With our growing impact, we're seeking motivated AI specialists to join our team and drive SOTA research across the Monetization organization.
**Required Skills:**
Research Engineer, Monetization AI Responsibilities:
1. Develop and implement large-scale model architectures, leveraging model scaling and transfer learning techniques
2. Prioritize training scalability and signal scaling to optimize model performance, efficiency, and reliability
3. Develop and apply NextGen sequence learning techniques to drive advancements in natural language processing and understanding
4. Design and implement generative modeling solutions for data augmentation
5. Research and develop graph-aware large language models
6. Develop and deploy AutoML pipelines
7. Apply Reinforcement Learning (RL) techniques, including long-term value optimization, RLHF, and RL4Reason
8. Use causal learning to identify and understand the cause and effect of relationships across data
9. Collaborate with cross-functional teams to design and optimize ML systems, leveraging expertise in hardware-software co-design, including quantization, compression, and resource-efficient AI, to drive performance improvements and efficiency gains
10. Develop and implement innovative solutions for data-related challenges, utilizing knowledge of semi/self-supervised learning, generative techniques, sampling, debiasing, domain adaptation, continual learning, data augmentation, cold-start, content understanding, and large language models
**Minimum Qualifications:**
Minimum Qualifications:
11. Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
12. 2+ years of experience holding an industry, faculty, or government researcher or applied researcher position, or related position
13. Research experience in deep learning, reinforcement learning, natural language processing, computer vision, recommendations, ranking, search, or related areas
14. Programming experience in Python and hands-on experience with frameworks such as PyTorch
15. Must obtain work authorization in the country of employment at the time of hire, and maintain ongoing work authorization during employment
**Preferred Qualifications:**
Preferred Qualifications:
16. Experience solving complex problems and comparing alternative solutions, tradeoffs, and different perspectives to determine a path forward.
17. Experience working and communicating cross functionally in a team environment.
18. First author publications at peer-reviewed AI conferences (e.g., NeurIPS, CVPR, ICML, ICLR, ICCV, ACL).
19. Master's degree or PhD in Computer Science, Computer Engineering, Artificial Intelligence, Machine Learning, or relevant technical field.
20. Experience taking ideas from research to production.
**Public Compensation:**
$70.67/hour to $208,000/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 the Monetization Ranking AI Research organization, dedicated to delivering personalized ads that maximize both user utility and advertiser value. We focus on advancing AI and ML technologies for all aspects of Monetization, including ranking, retrieval, model architecture, and optimization. By consistently integrating cutting-edge AI/ML advancements, we help Meta's products achieve long-term goals and have contributed tens of billions in revenue. With our growing impact, we're seeking motivated AI specialists to join our team and drive SOTA research across the Monetization organization.
**Required Skills:**
Research Engineer, Monetization AI Responsibilities:
1. Develop and implement large-scale model architectures, leveraging model scaling and transfer learning techniques
2. Prioritize training scalability and signal scaling to optimize model performance, efficiency, and reliability
3. Develop and apply NextGen sequence learning techniques to drive advancements in natural language processing and understanding
4. Design and implement generative modeling solutions for data augmentation
5. Research and develop graph-aware large language models
6. Develop and deploy AutoML pipelines
7. Apply Reinforcement Learning (RL) techniques, including long-term value optimization, RLHF, and RL4Reason
8. Use causal learning to identify and understand the cause and effect of relationships across data
9. Collaborate with cross-functional teams to design and optimize ML systems, leveraging expertise in hardware-software co-design, including quantization, compression, and resource-efficient AI, to drive performance improvements and efficiency gains
10. Develop and implement innovative solutions for data-related challenges, utilizing knowledge of semi/self-supervised learning, generative techniques, sampling, debiasing, domain adaptation, continual learning, data augmentation, cold-start, content understanding, and large language models
**Minimum Qualifications:**
Minimum Qualifications:
11. Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
12. 2+ years of experience holding an industry, faculty, or government researcher or applied researcher position, or related position
13. Research experience in deep learning, reinforcement learning, natural language processing, computer vision, recommendations, ranking, search, or related areas
14. Programming experience in Python and hands-on experience with frameworks such as PyTorch
15. Must obtain work authorization in the country of employment at the time of hire, and maintain ongoing work authorization during employment
**Preferred Qualifications:**
Preferred Qualifications:
16. Experience solving complex problems and comparing alternative solutions, tradeoffs, and different perspectives to determine a path forward.
17. Experience working and communicating cross functionally in a team environment.
18. First author publications at peer-reviewed AI conferences (e.g., NeurIPS, CVPR, ICML, ICLR, ICCV, ACL).
19. Master's degree or PhD in Computer Science, Computer Engineering, Artificial Intelligence, Machine Learning, or relevant technical field.
20. Experience taking ideas from research to production.
**Public Compensation:**
$70.67/hour to $208,000/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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7
Research Engineer, SysML - FAIR
94025 Menlo Park, California
Meta
Posted today
Job Viewed
Job Description
**Summary:**
Meta is seeking Research Engineers to join Fundamental AI Research (FAIR). We are committed to advancing the field of artificial intelligence by making fundamental advances in technologies to help interact with and understand our world. We are seeking individuals passionate in solving systems challenges to sustainably accelerate our reach to human-level intelligence. Candidates will have an opportunity to make fundamental advances in systems and apply their ideas at an unprecedented scale.The mission of Meta FAIR's SysML research is to advance the state of AI through open science innovations. We explore, design, and build ML systems and infrastructures at scale with usability, efficiency, and sustainability as design principles. Some aspects of this role include enabling distributed training at an unprecedented scale through advancements and development in training library and authoring components, such as cuBLAS, cuDNN, FlashAttention, training performance acceleration through hardware-software co-design.
**Required Skills:**
Research Engineer, SysML - FAIR Responsibilities:
1. Carry out cutting-edge research to advance the science and technology of machine learning systems
2. Perform research that enables learning the semantics of data (images, video, text, audio, and other modalities)
3. Devise better data-driven models of AI system design and optimization
4. Contribute research that leads to innovations in: scalable machine learning systems, resource-efficient AI data and algorithm scaling and neural network architectures, memory and energy-efficient AI systems, environmentally-sustainable AI system and hardware designs
5. Collaborate with researchers and cross-functional partners including communicating research plans, progress, and results
6. Publish research results and contribute to research that impacts Meta product development
**Minimum Qualifications:**
Minimum Qualifications:
7. Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
8. Master's degree in the field of Computer Science, Computer Engineering, or equivalent practical experience
9. 4+ years of domain-specific industry experience in areas related to development in systems, computer architectures, compiler and programming languages, machine learning, and artificial intelligence
10. Experience with Python, C++, C, Rust or other related languages and with PyTorch framework
11. Experience developing and optimizing systems for at-scale machine learning execution
12. Experience devising data-driven models and real-system experiments and design implementation for AI system optimization
13. Experience with scalable machine learning systems, resource-efficient AI data and algorithm scaling, or neural network architectures
14. Experience solving complex problems and comparing alternative solutions, tradeoffs, and different perspectives to determine a path forward
15. Experience working and communicating cross functionally in a team environment
**Preferred Qualifications:**
Preferred Qualifications:
16. PhD in the field of Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.
17. Demonstrated research and software engineering experience via work experience, coding competitions, or widely used contributions in open source repositories (e.g. GitHub).
18. Proven track record of achieving significant results as demonstrated by grants, fellowships, patents, as well as publications at leading workshops, journals or conferences such as MLSys, ISCA, ASPLOS, HPCA, PLDI, CGO, NeurIPS, ICML, ICLR, or similar.
**Public Compensation:**
$70.67/hour to $208,000/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
Meta is seeking Research Engineers to join Fundamental AI Research (FAIR). We are committed to advancing the field of artificial intelligence by making fundamental advances in technologies to help interact with and understand our world. We are seeking individuals passionate in solving systems challenges to sustainably accelerate our reach to human-level intelligence. Candidates will have an opportunity to make fundamental advances in systems and apply their ideas at an unprecedented scale.The mission of Meta FAIR's SysML research is to advance the state of AI through open science innovations. We explore, design, and build ML systems and infrastructures at scale with usability, efficiency, and sustainability as design principles. Some aspects of this role include enabling distributed training at an unprecedented scale through advancements and development in training library and authoring components, such as cuBLAS, cuDNN, FlashAttention, training performance acceleration through hardware-software co-design.
**Required Skills:**
Research Engineer, SysML - FAIR Responsibilities:
1. Carry out cutting-edge research to advance the science and technology of machine learning systems
2. Perform research that enables learning the semantics of data (images, video, text, audio, and other modalities)
3. Devise better data-driven models of AI system design and optimization
4. Contribute research that leads to innovations in: scalable machine learning systems, resource-efficient AI data and algorithm scaling and neural network architectures, memory and energy-efficient AI systems, environmentally-sustainable AI system and hardware designs
5. Collaborate with researchers and cross-functional partners including communicating research plans, progress, and results
6. Publish research results and contribute to research that impacts Meta product development
**Minimum Qualifications:**
Minimum Qualifications:
7. Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
8. Master's degree in the field of Computer Science, Computer Engineering, or equivalent practical experience
9. 4+ years of domain-specific industry experience in areas related to development in systems, computer architectures, compiler and programming languages, machine learning, and artificial intelligence
10. Experience with Python, C++, C, Rust or other related languages and with PyTorch framework
11. Experience developing and optimizing systems for at-scale machine learning execution
12. Experience devising data-driven models and real-system experiments and design implementation for AI system optimization
13. Experience with scalable machine learning systems, resource-efficient AI data and algorithm scaling, or neural network architectures
14. Experience solving complex problems and comparing alternative solutions, tradeoffs, and different perspectives to determine a path forward
15. Experience working and communicating cross functionally in a team environment
**Preferred Qualifications:**
Preferred Qualifications:
16. PhD in the field of Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.
17. Demonstrated research and software engineering experience via work experience, coding competitions, or widely used contributions in open source repositories (e.g. GitHub).
18. Proven track record of achieving significant results as demonstrated by grants, fellowships, patents, as well as publications at leading workshops, journals or conferences such as MLSys, ISCA, ASPLOS, HPCA, PLDI, CGO, NeurIPS, ICML, ICLR, or similar.
**Public Compensation:**
$70.67/hour to $208,000/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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8
Research Engineer, Applied Robotics
94039 Mountainview, California
Google
Posted today
Job Viewed
Job Description
Snapshot
The Google Deepmind Robotics ( ML-Framework team's mission is to enable and accelerate cutting-edge robotics AI research and maximize research impact in the real world.
We achieve this by collaborating closely with top tier embodied AI researchers to tackle emerging challenges and push the boundaries of what's possible. We form partnership with top robotics players in the world and actively work with them to externalize our robotics research outcome. Our team works hand in hand with infrastructure experts in robotics and GDM to deliver innovative, robust, flexible, and extensible software solutions that empower a wide array of research and partner projects.
The team is a core member of Google Deepmind Robotics, which is a research team devoted to exploring how machine learning can revolutionize the world of robotics. Recent advances in Large Language Models and perception, fueled by the deep learning revolution, have made it possible to envision autonomous robots that acquire a deep understanding of their environment through sensing and learning. This requires new, scalable approaches to learning in the physical world, as well as safe and data efficient approaches to continuously improving sensorimotor skills, which will ultimately enable autonomous agents to safely act in human-centered environments.
See this blog post ( and tech landing page ( to learn more about Robotics team's recent research advances and our plan of accepting sign up of trusted testers.
About us
Artificial Intelligence could be one of humanity's most useful inventions. At Google DeepMind, we're a team of scientists, engineers, machine learning experts and more, working together to advance the state of the art in artificial intelligence. We use our technologies for widespread public benefit and scientific discovery, and collaborate with others on critical challenges, ensuring safety and ethics are the highest priority.
The role
As a Research Engineer in the Applied Research team, you will build infrastructure that enables partners to access our model development pipeline and deploy our latest AI robotics models to their applications. You are insightful and innovative, proactively identifying needs and bottlenecks while proposing and iteratively crafting solutions with the team. You serve as the nexus between the robotics team and our partners-collaborating with cross-functional colleagues, providing engineering insights into research projects, and translating partners' application needs into effective tool development.
Key responsibilities
+ Work close with robotics partners and trusted testers to bring state-of-the-art Gemini robotics models to real-world applications.
+ Explore, implement and optimize model flywheel recipes that enables robotics partners and trusted testers to develop customized models and applications using Gemini Robotics models.
+ Build and maintain flexible and easy to use model development pipelines for trusted tester to develop robotics customized models and applications with of Gemini Robotics models.
+ Analyze, identify, and resolve system bottlenecks while tackling novel engineering challenges across the full system stack.
+ Collaborate with robotics and GDM-wide infrastructure teams to define short- and long-term infrastructure roadmaps.
About you
Minimum Qualifications:
+ Passionate about robotics and foundational models, with a strong desire to accelerate the application of Gemini robotics models in collaboration with external partners.
+ Experience with Google and DeepMind frameworks for model training, evaluation, workflow management, and data processing, or experience with development on Google Cloud and One Platform.
+ Solid Python and C++ programming experience in a production environment.
+ A team player with a product mindset, a willingness to learn, and the ability to work closely with research and product colleagues-always focused on delivering value in real-world applications.
Preferred Qualifications:
+ Bachelor's, Master's, or Ph.D. degree in Computer Science, a related technical field, or equivalent practical experience.
+ Experience in full-stack development for production applications, including scoping, design, implementation, testing, debugging, release, and deployment.
+ Proven ability to apply robotics ML/AI research to real-world problems and demonstrate tangible impact.
+ Collaborating experience with cross functional and cross organizational teams.
Application deadline: 31st July 2025
Note: In the event your application is successful and an offer of employment is made to you, any offer of employment will be conditional on the results of a background check, performed by a third party acting on our behalf. For more information on how we handle your data, please see our Applicant and Candidate Privacy Policy ( .
At Google DeepMind, we value diversity of experience, knowledge, backgrounds and perspectives and harness these qualities to create extraordinary impact. We are committed to equal employment opportunity regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, pregnancy, or related condition (including breastfeeding) or any other basis as protected by applicable law. If you have a disability or additional need that requires accommodation, please do not hesitate to let us know.
The Google Deepmind Robotics ( ML-Framework team's mission is to enable and accelerate cutting-edge robotics AI research and maximize research impact in the real world.
We achieve this by collaborating closely with top tier embodied AI researchers to tackle emerging challenges and push the boundaries of what's possible. We form partnership with top robotics players in the world and actively work with them to externalize our robotics research outcome. Our team works hand in hand with infrastructure experts in robotics and GDM to deliver innovative, robust, flexible, and extensible software solutions that empower a wide array of research and partner projects.
The team is a core member of Google Deepmind Robotics, which is a research team devoted to exploring how machine learning can revolutionize the world of robotics. Recent advances in Large Language Models and perception, fueled by the deep learning revolution, have made it possible to envision autonomous robots that acquire a deep understanding of their environment through sensing and learning. This requires new, scalable approaches to learning in the physical world, as well as safe and data efficient approaches to continuously improving sensorimotor skills, which will ultimately enable autonomous agents to safely act in human-centered environments.
See this blog post ( and tech landing page ( to learn more about Robotics team's recent research advances and our plan of accepting sign up of trusted testers.
About us
Artificial Intelligence could be one of humanity's most useful inventions. At Google DeepMind, we're a team of scientists, engineers, machine learning experts and more, working together to advance the state of the art in artificial intelligence. We use our technologies for widespread public benefit and scientific discovery, and collaborate with others on critical challenges, ensuring safety and ethics are the highest priority.
The role
As a Research Engineer in the Applied Research team, you will build infrastructure that enables partners to access our model development pipeline and deploy our latest AI robotics models to their applications. You are insightful and innovative, proactively identifying needs and bottlenecks while proposing and iteratively crafting solutions with the team. You serve as the nexus between the robotics team and our partners-collaborating with cross-functional colleagues, providing engineering insights into research projects, and translating partners' application needs into effective tool development.
Key responsibilities
+ Work close with robotics partners and trusted testers to bring state-of-the-art Gemini robotics models to real-world applications.
+ Explore, implement and optimize model flywheel recipes that enables robotics partners and trusted testers to develop customized models and applications using Gemini Robotics models.
+ Build and maintain flexible and easy to use model development pipelines for trusted tester to develop robotics customized models and applications with of Gemini Robotics models.
+ Analyze, identify, and resolve system bottlenecks while tackling novel engineering challenges across the full system stack.
+ Collaborate with robotics and GDM-wide infrastructure teams to define short- and long-term infrastructure roadmaps.
About you
Minimum Qualifications:
+ Passionate about robotics and foundational models, with a strong desire to accelerate the application of Gemini robotics models in collaboration with external partners.
+ Experience with Google and DeepMind frameworks for model training, evaluation, workflow management, and data processing, or experience with development on Google Cloud and One Platform.
+ Solid Python and C++ programming experience in a production environment.
+ A team player with a product mindset, a willingness to learn, and the ability to work closely with research and product colleagues-always focused on delivering value in real-world applications.
Preferred Qualifications:
+ Bachelor's, Master's, or Ph.D. degree in Computer Science, a related technical field, or equivalent practical experience.
+ Experience in full-stack development for production applications, including scoping, design, implementation, testing, debugging, release, and deployment.
+ Proven ability to apply robotics ML/AI research to real-world problems and demonstrate tangible impact.
+ Collaborating experience with cross functional and cross organizational teams.
Application deadline: 31st July 2025
Note: In the event your application is successful and an offer of employment is made to you, any offer of employment will be conditional on the results of a background check, performed by a third party acting on our behalf. For more information on how we handle your data, please see our Applicant and Candidate Privacy Policy ( .
At Google DeepMind, we value diversity of experience, knowledge, backgrounds and perspectives and harness these qualities to create extraordinary impact. We are committed to equal employment opportunity regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, pregnancy, or related condition (including breastfeeding) or any other basis as protected by applicable law. If you have a disability or additional need that requires accommodation, please do not hesitate to let us know.
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