Machine Learning SoC Architect
Meta· Engineering
Sunnyvale, CA, Multiple locations$212k - $294kFull-timePosted 2mo ago
About the role
Meta is seeking a Machine Learning SoC Architect to define and drive architectural definitions, performance modeling, pre-silicon analysis, and microarchitectural exploration for custom ASICs powering Meta's AI and data center workloads at scale. The role involves architecture specification, performance modeling methodology, and long-term silicon roadmap strategy in collaboration with silicon and software teams to meet high throughput, latency, and efficiency targets in hyperscale infrastructure.
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 innovative architectural solutions with 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
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
- 12+ years of prior experience in defining and delivering multiple high performance ASICs into production, with focus on architecture definition and performance analysis
- Experience in ASIC performance modeling, microarchitectural analysis, or pre-silicon simulation for custom silicon or SoC designs
- Proficiency in C++ and Python for developing simulation models, automation frameworks, and performance analysis tools
- Experience with performance analysis of data center, AI accelerator, or high-performance computing workloads on custom silicon
- Experience defining architecture and microarchitectural specifications and driving cross-functional alignment across architecture, RTL, and physical design teams
Skills
Required:Algorithm analysis and performance modelingMicroarchitectural analysisC++Python
Benefits
- Benefits information available from Meta’s benefits page
Last updated Oct 23, 2026. Interested? Apply on the company site.
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