• Machine Learning Hardware Architect

    Meta (Sunnyvale, CA)


    Summary:

    Meta’s mission is to give people the power to build community and bring the world closer together. Our global teams are constantly iterating, solving problems, and working together to empower people around the world to build community and connect in meaningful ways. Together, we can help people build stronger communities — we're just getting started.Reality Labs (RL) focuses on delivering Meta's vision through Virtual Reality (VR) and Augmented Reality (AR). The compute performance and power efficiency requirements of Virtual and Augmented Reality require custom silicon. Reality Labs Silicon team is driving the state of the art forward with breakthrough work in computer vision, machine learning, mixed reality, graphics, displays, sensors, and new ways to map the human body. Our chips will enable AR & VR devices where our real and virtual world will mix and match throughout the day. We believe the only way to achieve our goals is to look at the entire stack, from transistors, through architecture, firmware, and algorithms. In this position you will work with Machine Learning Hardware Architects, Digital Designers, and Software engineers to develop custom Machine Learning Hardware accelerators for delivery into multiple SoCs. You will collaborate with a world-class group of researchers and architects to implement and contribute to the development and optimization of low power machine learning accelerators and state-of-the-art SoCs.

    Required Skills:

    Machine Learning Hardware Architect Responsibilities:

    1. Technical lead for ML Hardware engineers, driving design from Architecture through to Product for AR/VR optimized silicon

    2. Lead designs to surpass state of the art for metrics such as compute, bandwidth and power consumption

    3. Work across disciplines, brainstorm big ideas, work in new technology areas, juggle/coordinate multiple initiatives, drive a concept into a prototype and ultimately guide the transition into a high-volume consumer product

    4. Travel both domestically and internationally

    Minimum Qualifications:

    Minimum Qualifications:

    5. Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience

    6. 12+ years of experience as a Hardware Design Engineer or Silicon Architect for production silicon shipped in volume

    7. Experience in Machine Learning IPs Silicon development

    8. Experience in digital design µArchitecture, RTL coding

    9. Experience with methods for partitioning a solution across hardware and software, evaluating trade-offs such as speed, performance, power, area

    10. Results oriented, proactive with demonstrated creative & critical thinking

    Preferred Qualifications:

    Preferred Qualifications:

    11. Experience in deep learning algorithms and techniques, e.g., convolutional neural networks, transformers, LLMs

    12. Experience with SoC Architecture and subsystem Integration

    13. Knowledge of industry trends and disruptive technologies

    14. Experience with Firmware, DSP coding and optimization

    15. Knowledge of Physical Design and Low power implementation

    16. Collaborate and/or lead in a team environment

    17. Master/PhD degree in EE/CS or equivalent areas

    Public Compensation:

    $212,000/year to $294,000/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 [email protected].