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Meta Power and Performance Modeling Architect, Reality Labs in Redmond, Washington

Summary:

As a member of the RL subsystem architecture team you will play a key role in power and performance architecture and modeling. You will analyze our key workloads (graphics rendering, display, audio, computer vision, or color imaging) and collaborate with IP architects and execution engineers to architect subsystems that are SW usable, performant and power efficient. You will also act as a key point-of-contact representing the team with varying internal and external partners, in a highly cross-functional environment, delivering on proof of concepts for workloads and other challenging demands.

Required Skills:

Power and Performance Modeling Architect, Reality Labs Responsibilities:

  1. Identify opportunities for optimization and collaborate with hardware teams to solidify HW-SW co-design.

  2. Lead IP performance bottleneck analysis using traffic traces from pre/post silicon platforms.

  3. Lead thermal measurement, performance bottleneck analysis, and power characterization.

  4. Lead Subsystem NoC characterization, architecture, and design.

  5. Lead analysis and configuration of subsystem caches for optimal performance.

  6. Drive workload analysis for power and performance across the workloads of interest.

  7. Drive IP latency hiding features and QoS recommendations for each compute engine.

  8. Collaborate with diverse partners to deliver documentation and proof of concepts for workloads running on these subsystems.

  9. Identify and manage appropriate comparative analysis to ensure the workloads are targeting state of the art.

Minimum Qualifications:

Minimum Qualifications:

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

  2. 4+ years of experience with programming (C/C++ or SystemC-TLM) and scripting (Python).

  3. 2+ years of experience with power concepts and low power design principles.

  4. 2+ years of experience evaluating architectural trade-offs in performance, power, and other KPIs.

  5. 4+ years of experience with SoC Architecture, NoCs, memory subsystems, and heterogeneous compute principles.

Preferred Qualifications:

Preferred Qualifications:

  1. 3+ years of experience with thermally constrained power/performance optimization on embedded devices.

  2. 3+ years of experience with bare-metal programming, micro-benchmarking, etc.

  3. 3+ years of experience deconstructing a problem, designing performance experiments, analyzing and visualizing data, and drawing conclusions for modeling and subsystem architecture.

  4. Expertise with power management principles, thermal and di/dt analysis, multi-voltage designs, as well as DVFS and UPF concepts.

  5. Expertise collaborating and communicating effectively in a matrix environment, as well as acting independently as the point-of-contact representing your team with internal and external partners.

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

  7. Expertise with developing and utilizing telemetry solutions to analyze and profile workloads

  8. Expertise with developing and/or using HW/SW emulation systems

Public Compensation:

$142,000/year to $203,000/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 accommodations-ext@fb.com.

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