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Machine Learning SoC Architect

2 months ago

Menlo Park, California, United States Meta Full time

Summary:

Meta is seeking an Architect for it's ML ASICs with a focus on SoC debug and trace sub-system. This role is on the silicon team within the Infrastructure organization which is responsible for designing and operating all of Meta's Data Centers. These Data Centers are the foundation upon which our rapidly scaling business operates, and upon which all of our services such as Facebook, Instagram, Messenger, WhatsApp etc. are delivered to our worldwide user base consisting of approximately half of the world's population.This silicon team is responsible for building hardware accelerators for Data Center servers, to offload the most computationally demanding workloads and execute them with higher performance and lower energy consumption as compared to running them on the CPU/GPU of the server. In this role, you will be defining the architecture of the next generation of Machine Learning ASICs being built on the most modern process technologies and featuring industry leading performance and feature sets.

Required Skills:

Machine Learning SoC Architect - Debug/Trace Subsystem Responsibilities:

  1. Work on architecting the debug and trace sub system of Machine Learning ASICs to provide the right level of observability and controllability to enable the debug and profiling of the ASIC in a lab as well as in the field
  2. Define architectural features related to on-chip hardware performance counters and other live telemetry features to assist with debug and performance analysis of highly complex SoCs.
  3. Identify appropriate workloads and micro-benchmarks to be used for performance analysis and drive this analysis on simulation and emulation platforms to define and validate the architecture.
  4. Evangelize your innovative architectural solutions with your peers and leadership, while mentoring members of the architecture team.
  5. Collaborate with cross functional teams working on RTL design, Design Verification, Firmware/Software development, Pre-Post silicon validation and Program Management to deliver first pass functional silicon on an aggressive schedule.
  6. Collaborate with software and firmware teams to ensure that the ASIC meets end to end application performance goals while maintaining ease and efficiency of software development.

Minimum Qualifications:

Minimum Qualifications:

  1. Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.
  2. Experience and knowledge of Computer Architecture concepts such as microprocessor architecture, memory systems, on-chip interconnection networks etc.
  3. Experience and knowledge of debug systems such as ARM CoreSight, Siemens UltraSoC, IEEE-ISTO Nexus) etc.
  4. 20+ years of prior experience in defining and delivering multiple high performance ASICs into production, with direct experience on the debug and trace sub systems of multiple ASICs

Preferred Qualifications:

Preferred Qualifications:

  1. Master's or PhD degree in Electrical Engineering, Computer Engineering or related field.
  2. Domain knowledge in Machine Learning networks and Machine Learning frameworks such as Pytorch.

Public Compensation:

$212,000/year to $291,000/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-