Meta is seeking a Machine Learning SoC Architect to join its 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. This is a architect role in which 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 Responsibilities

• Work on algorithm analysis, performance analysis and architecture definition of Machine Learning ASICs.
• Map Data Center workloads to heterogeneous ASICs that contain multiple different programmable processors and hardware accelerators. Perform detailed calculations to specify computation throughput, memory bandwidth and latency
• evaluate performance v/s area v/s power tradeoffs.
• Drive the architecture definition of one or more of the following ASIC sub-systems: compute, memory, Network-On-Chip (NoC), collectives, debug etc. and chiplet based multi-die 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, hardware/software partitioning etc.
• 20+ years of prior experience in defining and delivering multiple high performance ASICs into production, with focus on architecture definition and performance analysis.

Preferred Qualifications

• Master's or PhD degree in Electrical Engineering, Computer Engineering or related field.
• Domain knowledge in one or more of power/performance tradeoffs, digital signal processing, ML networks, ML frameworks such as Pytorch.
• Programming in C or C++ with knowledge of mapping hardware algorithms to efficient C/C++ code.

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