5,982 Algorithm jobs in the United States

Minimum qualifications:
+ Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, a related field, or equivalent practical experience.
+ 5 years of experience with computer architecture concepts, including microarchitecture, cache hierarchy, pipelining, and memory subsystems.
+ 5 years of experience with image processing, machine learning based image processing, computational photography, or deep learning.
+ Experience with machine learning frameworks (e.g., TensorFlow, PyTorch).
+ Experience in C/C++ or Python programming.
Preferred qualifications:
+ Master's degree or PhD in Electrical Engineering, Computer Engineering or Computer Science, with an emphasis on computer architecture.
+ 8 years of experience with image processing, machine learning based image processing, computational photography, or deep learning.
+ Experience in Machine Learning algorithm and hardware design trade-off analysis.
+ Experience in real-time video use cases.
+ Experience with camera algorithms and architecture.
+ Experience in generative AI models for image/video processing.
Be part of a team that pushes boundaries, developing custom silicon solutions that power the future of Google's direct-to-consumer products. You'll contribute to the innovation behind products loved by millions worldwide. Your expertise will shape the next generation of hardware experiences, delivering unparalleled performance, efficiency, and integration.
Google's mission is to organize the world's information and make it universally accessible and useful. Our team combines the best of Google AI, Software, and Hardware to create radically helpful experiences. We research, design, and develop new technologies and hardware to make computing faster, seamless, and more powerful. We aim to make people's lives better through technology.
The US base salary range for this full-time position is $156,000-$229,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.
Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google ( .
+ Research and develop state-of-the-art camera Video ML algorithms for enabling new imaging use cases, leveraging Camera, ISP, and Machine Learning.
+ Explore and identify a technical direction for new imaging experiences and architecture.
+ Work closely with Hardware Architects, Research, Image Quality, and Software teams to identify and develop new Video ML algorithm, software/hardware partitioning, and hardware acceleration designs where applicable.
Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also and If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form:

Machine Learning Algorithm Validation Engineer
**Cupertino, California, United States**
**Hardware**
**Summary**
Posted: **Jul 10, 2025**
Weekly Hours: **5**
Role Number: **200582658**
Would you like to work on a dynamic team that is all about delivering an Apple-quality experience on some of the world's most creative products?
We are the Product Systems Quality team, and we're looking for a highly motivated, energetic, and experienced Algorithm Validation Engineer with a passion for delivering robust, inclusive, and state-of-the-art Computer Vision and Machine Learning algorithms in Apple's next generation of products. You'll enjoy working on a team of QA engineers with diverse backgrounds as we refine the models that power Apple's trademark simple and elegant user experience.
Come be a part of our team and use creativity and innovation to test features that our customers love!
**Description**
You will work closely with algorithm development teams to design and execute live test procedures, aggressor searches, user studies, and annotation pipelines to improve and influence ML algorithm performance and design. By focusing on end-to-end system performance, you will evaluate and represent the true customer experience while using a deep understanding of the various components within the models to test comprehensively and efficiently. You'll also work with hardware and software engineering teams to consider the system design and external factors that influence model performance.
You will be proud of your work through every step of the development cycle and will help make Apple products more flexible, reliable, and easy to use.
**Minimum Qualifications**
+ Bachelor's degree in CS/CE/EE and a minimum of 2 years relevant industry experience.
+ Strong programming skills and hands-on experience with Python.
+ Experience in testing products utilizing computer vision, computational photography, generative AI, machine learning, or related areas.
+ Ability to communicate effectively and collaborate with partner teams.
+ Committed to encouraging an open and inclusive work environment.
**Preferred Qualifications**
+ Academic background in data science, machine learning, computer vision, and statistical data analysis
+ Experience with relevant ML frameworks (PyTorch, TensorFlow, or JAX).
+ Experience with CoreML, Swift, and iOS/macOS machine learning development.
+ Experience in data analysis and developing data visualizations & reporting with tools such as Tableau or Superset
+ Understanding of how to test and quantify performance of sensing technologies such as IMU, capacitive, environmental, light, motion, radar, optical, acoustic, and evaluate user impact and performance.
**Pay & Benefits**
At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $141,800 and $258,600, and your base pay will depend on your skills, qualifications, experience, and location.
Apple employees also have the opportunity to become an Apple shareholder through participation in Apple's discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple's Employee Stock Purchase Plan. You'll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses - including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation.Learn more about Apple Benefits. ( Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.
Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics.Learn more about your EEO rights as an applicant ( .
Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics.Learn more about your EEO rights as an applicant ( .
Apple will not discriminate or retaliate against applicants who inquire about, disclose, or discuss their compensation.
Apple participates in the E-Verify program in certain locations as required by law.Learn more about the E-Verify program ( .
Apple is committed to working with and providing reasonable accommodation to applicants with physical and mental disabilities. Reasonable Accommodation and Drug Free Workplace policy Learn more .
Apple is a drug-free workplace. Reasonable Accommodation and Drug Free Workplace policy Learn more .
Apple will consider for employment all qualified applicants with criminal histories in a manner consistent with applicable law. If you're applying for a position in San Francisco, review the San Francisco Fair Chance Ordinance guidelines applicable in your area.
It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

Machine Learning Algorithm and Software Engineer
**Sunnyvale, California, United States**
**Machine Learning and AI**
**Summary**
Posted: **Nov 22, 2024**
Role Number: **200579859**
Our team delivers algorithms that power Apple Vision Pro's Eyesight, Persona and other cutting-edge technologies. In this position, you will be part of our extraordinary team of Computer Graphics, Computer Vision and Deep Learning researchers and engineers to discover and build solutions to previously-unsolved challenges in human representation, robotics and health applications impacting millions of users.
**Description**
Apple's Video Computer Vision (VCV) Face and Body technologies team is looking for a skilled on-device Machine Learning Engineer for developing and implementing state-of-the-art computer vision and graphics algorithms. We are actively involved in the whole feature cycle from data collection design and data processing to model training, optimization, and shipping algorithms in on-device software frameworks. We perform applied research development to adapt state-of-the-art methods or implement new methods to ship features across various Apple products, such as iOS, visionOS and watchOS.
In this role, you will play a crucial role in bringing innovative features to Apple devices. You will work at the intersection of machine learning, software engineering, and hardware optimization to build high-performance, power efficient applications. We contribute to the entire feature lifecycle, from proposing novel algorithms, prototyping, validating, training ML models and tuning them to shipping software. We work closely with other ML researchers as well as data, software and hardware engineers both in internal and cross-functional teams across Apple. The ideal candidate will have a strong background in computer vision, machine learning and software development with particular expertise in implementing efficient algorithmic solutions for low power on-device applications.
**Minimum Qualifications**
+ 3+ years of industry experience developing and implementing computer vision, ML, or computer graphics algorithms on-device
+ Coding skills in python and C/C++.
+ Knowledge of optimizing algorithms and software for resource constrained low-power devices.
+ Experience in 3D computer vision and image processing.
+ BS Degree in relevant field
**Preferred Qualifications**
+ Familiarity with ML learning techniques such as CNN, transformers, and diffusion models.
+ Proficiency in frameworks such as PyTorch or JAX.
+ Strong problem solving skills with proven experience in contributing to end2end projects life cycle from data acquisition and processing, algorithm development, prototyping to shipping software at scale.
+ Excellent communication and teamwork skills.
**Pay & Benefits**
At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $147,400 and $272,100, and your base pay will depend on your skills, qualifications, experience, and location.
Apple employees also have the opportunity to become an Apple shareholder through participation in Apple's discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple's Employee Stock Purchase Plan. You'll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses - including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation.Learn more about Apple Benefits. ( Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.
Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics.Learn more about your EEO rights as an applicant ( .
Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics.Learn more about your EEO rights as an applicant ( .
Apple will not discriminate or retaliate against applicants who inquire about, disclose, or discuss their compensation.
Apple participates in the E-Verify program in certain locations as required by law.Learn more about the E-Verify program ( .
Apple is committed to working with and providing reasonable accommodation to applicants with physical and mental disabilities. Reasonable Accommodation and Drug Free Workplace policy Learn more .
Apple is a drug-free workplace. Reasonable Accommodation and Drug Free Workplace policy Learn more .
Apple will consider for employment all qualified applicants with criminal histories in a manner consistent with applicable law. If you're applying for a position in San Francisco, review the San Francisco Fair Chance Ordinance guidelines applicable in your area.
It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

Machine Learning Algorithm Validation Engineer

Cupertino, California, United States

Add to Favorites Machine Learning Algorithm Validation Engineer

Description

You will work closely with algorithm development teams to design and execute live test procedures, aggressor searches, user studies, and annotation pipelines to improve and influence ML algorithm performance and design. By focusing on end-to-end system performance, you will evaluate and represent the true customer experience while using a deep understanding of the various components within the models to test comprehensively and efficiently. You’ll also collaborate with hardware and software engineering teams to consider system design and external factors that influence model performance. You will take pride in your work throughout every step of the development cycle, helping to make Apple products more flexible, reliable, and user-friendly.

Minimum Qualifications

• Bachelor’s degree in CS/CE/EE and at least 2 years of relevant industry experience.
• Strong programming skills, with hands-on experience in Python.
• Experience testing products utilizing computer vision, computational photography, generative AI, machine learning, or related fields.
• Effective communication skills and ability to collaborate with partner teams.
• Commitment to fostering an open and inclusive work environment.

Preferred Qualifications

• Academic background in data science, machine learning, computer vision, and statistical data analysis.
• Experience with ML frameworks such as PyTorch, TensorFlow, or JAX.
• Experience with CoreML, Swift, and iOS/macOS ML development.
• Skills in data analysis, visualization, and reporting using tools like Tableau or Superset.
• Understanding of testing and quantifying the performance of sensing technologies like IMU, capacitive sensors, environmental sensors, light, motion, radar, optical, and acoustic devices, including evaluating user impact and performance.

At Apple, base pay is part of a comprehensive compensation package, with a range between $136,300 and $248,700, depending on skills, qualifications, experience, and location. Employees may also participate in stock programs, receive benefits such as medical and dental coverage, retirement plans, discounts, educational reimbursement, and potential bonuses or relocation support. Learn more about Apple Benefits.

Note: Eligibility for benefits, compensation, and stock programs depends on specific requirements and plan terms.

Apple is an equal opportunity employer committed to diversity and inclusion. We promote equal opportunity regardless of race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or other protected characteristics. Learn more about your EEO rights as an applicant.

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**Summary:**
Our team aids in the creation of Meta products used by billions of people around the world. Are you interested in driving new camera innovation in Reality Labs devices? Would you like to pioneer the next frontier of computing platforms with our Smart Glasses and AI-first consumer devices while improving existing products like Messenger, Video, Groups, News Feed, Search, AR/VR, GenAI, and more? Are you passionate about solving unique, large scale, highly complex technical problems? If so, this position might be for you!We are seeking self-motivated Machine Learning Camera Algorithm Engineers to join our team. Our engineers bring together world-class software/hardware to deliver cutting-edge camera user experiences by developing groundbreaking algorithms across our entire AR, VR, and MR product portfolios.We are seeking self-motivated Machine Learning Camera Algorithm Engineers to join our team. Our engineers bring together world-class software/hardware and system engineers to deliver cutting-edge camera user experiences by developing groundbreaking algorithms across our entire AR, VR, and MR product portfolios.
**Required Skills:**
Algorithm Engineer, Machine Learning for Cameras (PhD) Responsibilities:
1. Involvement in both software productizations and new technology innovations
2. Designing and training machine learning (ML) models
3. Optimizing ML solutions for on-device deployment
4. Fine tuning models for quality improvement and integration of ML models into product software stack
**Minimum Qualifications:**
Minimum Qualifications:
5. 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
6. Currently has, or is in the process of obtaining, a PhD degree in Computer Vision, Machine Learning, Computer Graphics, relevant technical field, or equivalent practical experience. Degree must be completed prior to joining Meta
7. Experience in Python or C++
8. Knowledge of model complexity and optimization
9. Must obtain work authorization in country of employment at the time of hire, and maintain ongoing work authorization during employment
**Preferred Qualifications:**
Preferred Qualifications:
10. Proven track record of achieving significant results as demonstrated by grants, fellowships, patents, as well as first-authored publications at leading workshops or conferences such as CVPR, ECCV/ICCV, SIGGRAPH, or similar.
11. Demonstrated software engineer experience via an internship, work experience, coding competitions, or widely used contributions in open source repositories (e.g. GitHub).
12. Experience with commercial software products.
13. Experience working and communicating cross-functionally in a team environment.
14. Experience with Generative AI based projects.
**Public Compensation:**
$56.25/hour 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

Signal Processing and Machine Learning Algorithm Engineer
**San Diego, California, United States**
**Hardware**
**Summary**
Posted: **Jun 13, 2025**
Role Number: **200609225**
At Apple, we believe that novel ideas can quickly become extraordinary products, services and customer experiences. When you bring passion and dedication to your job there's no limit to what we can accomplish.
Are you ready to join an incredible research and engineering team that's responsible for building the next-generation of algorithms for sensing technologies on the iPhone, Apple Watch, iPad and more? Our team has diverse backgrounds in machine learning, statistics, estimation theory, control, physics and human factors. We are looking for inquisitive, creative engineers with expertise in signal processing and/or deep learning algorithms for time-series data. A deep understanding of probabilistic modeling, statistics and embedded programming will improve your adaptability and efficiency in this role.
**Description**
This is a key position at a focal point of HW/SW/UI integration with collaboration opportunities among different fields. You will design specialized algorithms that transform raw image or time-series data into interpretable information that feeds into sophisticated applications that delight, connect and enable Apple users all around the world. Starting early in the product lifecycle, you will analyze sensor data, extract features and prototype algorithms. You will collaborate closely with partner teams throughout the product life cycle, developing figures of merit to guarantee algorithm performance at different stages, crafting and implementing algorithmic mitigations as needed and providing critical support during production. Your experience with crafting algorithms to process time series sensor data and extract features that can enable user interactions along with rapid prototyping skills to show proof of concept and on-device implementation would be crucial. Experience with user interface design will further help broaden your role and efficiency in this position.
**Minimum Qualifications**
+ Strong background in signal processing, statistical learning, and mathematical foundations of machine learning.
+ Software programming skills in Python and C/C++.
+ BS and a minimum of 3 years related experience.
**Preferred Qualifications**
+ M.S. in EE/ECE/CS with 2 years of experience in research and development of embedded algorithms.
+ Knowledge of Deep Learning and classical Machine Learning, including but not limited to CNN / RNN / GAN, active learning, k-shot learning and model complexity reduction techniques.
+ Rapid prototyping experience with embedded systems.
+ Experience in human computer interaction (HCI), crafting user study protocols and data analysis.
+ Excellent communication, presentation, and documentation skills.
**Pay & Benefits**
At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $139,500 and $258,100, and your base pay will depend on your skills, qualifications, experience, and location.
Apple employees also have the opportunity to become an Apple shareholder through participation in Apple's discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple's Employee Stock Purchase Plan. You'll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses - including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation.Learn more about Apple Benefits. ( Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.
Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics.Learn more about your EEO rights as an applicant ( .
Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics.Learn more about your EEO rights as an applicant ( .
Apple will not discriminate or retaliate against applicants who inquire about, disclose, or discuss their compensation.
Apple participates in the E-Verify program in certain locations as required by law.Learn more about the E-Verify program ( .
Apple is committed to working with and providing reasonable accommodation to applicants with physical and mental disabilities. Reasonable Accommodation and Drug Free Workplace policy Learn more .
Apple is a drug-free workplace. Reasonable Accommodation and Drug Free Workplace policy Learn more .
Apple will consider for employment all qualified applicants with criminal histories in a manner consistent with applicable law. If you're applying for a position in San Francisco, review the San Francisco Fair Chance Ordinance guidelines applicable in your area.
It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

Abbott is a global healthcare leader that helps people live more fully at all stages of life. Our portfolio of life-changing technologies spans the spectrum of healthcare, with leading businesses and products in diagnostics, medical devices, nutritionals and branded generic medicines. Our 114,000 colleagues serve people in more than 160 countries.
Abbott is a global healthcare leader, creating breakthrough science to improve people's health. We're always looking towards the future, anticipating changes in medical science and technology.
**Working at Abbott**
At Abbott, you can do work that matters, grow, and learn, care for yourself and family, be your true self and live a full life. You'll also have access to:
+ Career development with an international company where you can grow the career you dream of.
+ Employees can qualify for free medical coverage in our Health Investment Plan (HIP) PPO medical plan in the next calendar year
+ An excellent retirement savings plan with high employer contribution
+ Tuition reimbursement, the Freedom 2 Save ( student debt program and FreeU ( education benefit - an affordable and convenient path to getting a bachelor's degree.
+ A company recognized as a great place to work in dozens of countries around the world and named one of the most admired companies in the world by Fortune.
+ A company that is recognized as one of the best big companies to work for as well as a best place to work for diversity, working mothers, female executives, and scientists.
**THE OPPORTUNITY**
This **Algorithm Engineer** position works out of **Alameda, CA** location in the Abbott Diabetes Care Division, where we are focused on helping people with diabetes manage their health with life-changing products that provide accurate data to drive better-informed decisions. We're revolutionizing the way people monitor their glucose levels with our FreeStyle Libre family of sensor systems.
This Algorithm Engineer position is responsible for participating in the algorithm development of new products. Assists with finding solutions to product development problems of defined scope. Participates in system level design documentation and requirements specification. Provides specialized functions such as algorithm development, user interface development, and data analysis methodology. Develops and follows specialized procedures in executing experiments, evaluation and documentation of results. Develops working relationships with cross functional groups and senior/executive management.
**What You'll Work On**
+ Participate in algorithm development and synthesis, incorporating mathematical models and optimizing design processes.
+ Perform discovery analysis to advance knowledge relevant to sensor algorithm development.
+ Participate in product definition, system architecture, requirements writing, requirements management, requirements analysis, risk analysis, hazard analysis, product test and evaluation, System V & V, and/or design control documentation.
+ Collect, organize, analyze, and document test results.
+ Participate in the integration of analytical and performance-related elements with software, hardware, and electronics system components.
**QUALIFICATIONS**
+ Bachelor's degree in an engineering or scientific discipline.
+ **Minimum 4 years** of product development experience in Engineering or physical science.
+ Experience credit for advanced degrees beyond BS (2 years for Master's; 1-2 years for Doctorate).
+ Good working knowledge of MATLAB.
+ Solid knowledge of general engineering/science principles.
+ Experience with system identification/stochastic modeling and algorithm development for sensor systems through FDA clearance or approval.
**Preferred**
+ A master's degree or a PhD is ideal.
+ Experience in the medical device space, ideally within diabetes or other metabolic diseases.
+ Experience creating mathematical models of biological dynamics &/ electrochemical systems by reconciling clinical data and first principles by system identification methods.
+ Experience prototyping algorithm ideas in MATLAB and synthesizing the final algorithm for implementation in embedded systems.
+ Demonstrated prior contributions in synthesizing algorithms for real-time sensor systems (e.g., continuous glucose monitoring systems) and involvement in algorithm development support towards regulatory clearance of sensor products.
+ Signal processing or equivalent discipline that operates on real-time signals to create an estimate robust from outliers, system faults, and various uncertainties.
#software
Apply Now ( more about our health and wellness benefits, which provide the security to help you and your family live full lives:** ( your career aspirations to Abbott for diverse opportunities with a company that can help you build your future and live your best life. Abbott is an Equal Opportunity Employer, committed to employee diversity.
Connect with us at , on Facebook at and on Twitter @AbbottNews and @AbbottGlobal
The base pay for this position is $86,700.00 - $173,300.00. In specific locations, the pay range may vary from the range posted.
An Equal Opportunity Employer
Abbot welcomes and encourages diversity in our workforce.
We provide reasonable accommodation to qualified individuals with disabilities.
To request accommodation, please call or email

Display Algorithm Engineer
**Cupertino, California, United States**
**Hardware**
**Summary**
Posted: **Jul 18, 2025**
Role Number: **200596106**
Apple's Display EE Incubation Team develops future display technology that delivers groundbreaking visual experiences to our users. The team is seeking a senior display algorithm engineer to create and implement display system prototypes, simulation, AI/ML tools, data infrastructure and automation for designing and manufacturing new display products in AR/MR, Mobile, Wearable and Desktop segments. A successful candidate will not only need to demonstrate world-class technical skills across multiple domains, but also excellent communication and leadership skills to collaborate with various Apple internal cross-functional teams and external partners.
This role offers an incredible opportunity to lead development of future displays while collaborating and learning from world-class experts in multiple disciplines across the entire hardware-software-UX spectrum.
**Description**
- Identify opportunities for for designing future displays and validate user value proposition through proof-of-concept prototyping, define problem statement.
- Define requirements, system designs, KPIs and performance metrics for future Apple products.
- Develop FW, drivers, SW for display pipeline processing, calibration, display driving, and manufacturing.
- Build complete proof-of-concept display system prototypes.
- Coordinate and assist in bring-up, debug, manufacturing, test, calibration & verification plans to ensure high quality systems are delivered
**Minimum Qualifications**
+ Bachelor's degree in EE/CS, Optics/Photonics, Physics or equivalent with 8+ years of relevant relevant industry experience.
+ Experience with image/signal processing techniques and algorithms, performance modeling and simulation.
+ Experience with shipping production code for imaging and display pipelines, deep understanding of system SW integration.
+ Software development skills with high-level programming languages C/C++, Python.
+ Experience with data engineering at scale, familiar with machine learning tools
**Preferred Qualifications**
+ Advanced degree in relevant field of study along with some industry experience
+ Experience in using AI/ML approaches in real-life applications.
+ Experience with display processing algorithms
+ Thorough, disciplined, methodical approach, with good documentation habits
+ Team player with exceptional conversational & written communication, negotiation & presentation skills
+ Excellent project management & communication skills.
+ Creative mindset, self-motivated, independent
**Pay & Benefits**
At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $181,100 and $318,400, and your base pay will depend on your skills, qualifications, experience, and location.
Apple employees also have the opportunity to become an Apple shareholder through participation in Apple's discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple's Employee Stock Purchase Plan. You'll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses - including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation.Learn more about Apple Benefits. ( Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.
Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics.Learn more about your EEO rights as an applicant ( .
Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics.Learn more about your EEO rights as an applicant ( .
Apple will not discriminate or retaliate against applicants who inquire about, disclose, or discuss their compensation.
Apple participates in the E-Verify program in certain locations as required by law.Learn more about the E-Verify program ( .
Apple is committed to working with and providing reasonable accommodation to applicants with physical and mental disabilities. Reasonable Accommodation and Drug Free Workplace policy Learn more .
Apple is a drug-free workplace. Reasonable Accommodation and Drug Free Workplace policy Learn more .
Apple will consider for employment all qualified applicants with criminal histories in a manner consistent with applicable law. If you're applying for a position in San Francisco, review the San Francisco Fair Chance Ordinance guidelines applicable in your area.
It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.