• AR Subsystem Power Architect

    Meta (Redmond, WA)


    Summary:

    Reality Labs (RL) focuses on delivering Meta's vision through AI-first wearables devices. The compute performance and power efficiency requirements require custom silicon. The Reality Labs wearables team is driving the state-of-the-art forward with highly integrated SoCs that leverage breakthrough work in computer vision, machine learning, mixed reality, graphics, displays, sensors, and new ways to map the human body. Our chips will enable our wearables products to blend real and virtual worlds 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.

    Required Skills:

    AR Subsystem Power Architect Responsibilities:

    1. Develop and maintain architectural models and specifications for system-on-chip (SOC) components and subsystems

    2. Lead technical analysis and optimization efforts for SOC subsystem design elements, utilizing data from simulation and hardware validation platforms

    3. Conduct analysis and optimization of SOC subsystems to achieve optimal power, performance, and area (PPA) targets

    4. Drive architectural analysis for current and future workloads to inform SOC design decisions and roadmap planning

    5. Collaborate with cross-functional teams to deliver technical documentation, architectural specifications, and performance models for SOC implementations

    Minimum Qualifications:

    Minimum Qualifications:

    6. 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

    7. 2+ years of experience integrating SoCs or complex IP-based subsystems as a Silicon Architect or Digital Design Engineer

    8. Knowledgeable in SoC system design principles and evaluating architectural trade-offs across key performance metrics including power, performance and area

    9. Experience with post-silicon to pre-silicon correlation analysis

    10. Experience with developing and utilizing telemetry solutions to analyze and profile workloads

    Preferred Qualifications:

    Preferred Qualifications:

    11. Demonstrated experience developing and maintaining power models for accelerator sub-systems

    12. Experience performing workload analysis for power across a range of relevant workloads, including next-generation applications

    13. Experience leading Intellectual Property (IP) power optimization analysis using traffic traces from pre/post silicon platforms

    14. Experience in at least one relevant area: Audio, Display, Rendering, Computer Vision, or Imaging

    15. Experience leading the analysis and configuration of subsystem caches for optimal PPA

    16. Experience with bare-metal programming, micro-benchmarking, etc

    17. Experience deconstructing a problem, designing performance experiments, analyzing and visualizing data, and drawing conclusions for modeling and subsystem architecture

    18. Experience collaborating with cross-functional partners to produce comprehensive documentation and modeling for workloads executed on accelerator sub-systems

    Public Compensation:

    $114,000/year to $166,000/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].