Machine Learning SoC Architect – Debug/Trace Subsystem Full-time

Machine Learning SoC Architect – Debug/Trace Subsystem

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Sunnyvale, CA • Menlo Park, CA

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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.

Machine Learning SoC Architect – Debug/Trace Subsystem Responsibilities

• 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
• 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.
• 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.
• Evangelize your innovative architectural solutions with your peers and leadership, while mentoring members of the architecture team.
• 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.
• 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

• Bachelor’s degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.
• Experience and knowledge of Computer Architecture concepts such as microprocessor architecture, memory systems, on-chip interconnection networks etc.
• Experience and knowledge of debug systems such as ARM CoreSight, Siemens UltraSoC, IEEE-ISTO 5001-2003 (Nexus) etc.
• 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

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

For those who live in or expect to work from California if hired for this position, please click here for additional information.

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Data Center

About Meta

Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today-beyond the constraints of screens, the limits of distance, and even the rules of physics.

Meta is committed to providing reasonable support (called accommodations) in our recruiting processes for candidates with disabilities, long term conditions, mental health conditions or sincerely held religious beliefs, or who are neurodivergent or require pregnancy-related support. If you need support, please reach out to accommodations-ext@fb.com .

$212,000/year to $291,000/year + bonus + equity + benefits

Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.