Machine Learning SoC Architect at Meta
Overview
Meta seeks a Machine Learning SoC Architect to lead ASIC design for silicon underpinning AI and data center workloads at scale. You will define architecture performance modeling and roadmap while partnering with silicon and software teams. This role drives innovation in custom silicon solutions shaping the future of social technology.
What You'll Do9
- 1Analyze algorithms and map data center workloads to heterogeneous ASICs containing multiple programmable processors and accelerators
- 2Perform calculations to specify throughput memory bandwidth and latency evaluating performance versus area and power tradeoffs
- 3Drive architecture definition for compute memory Network-On-Chip collectives debug chiplet based multi die SoCs and other subsystems
- 4Identify workloads and micro benchmarks drive simulation and emulation to define and validate architecture
- 5Evangelize architectural solutions mentor architecture team members
- 6Collaborate with RTL design verification firmware development pre post silicon validation and program management to deliver functional silicon on schedule
- 7Work with software and firmware teams to meet application performance goals while ensuring software development efficiency
- 8Define architecture and microarchitectural specifications align architecture RTL and physical design teams
- 9Pre-silicon simulation for custom silicon and SoC designs
Requirements10
- 1Bachelor degree in Computer Science Computer Engineering or equivalent practical experience
- 212+ years defining and delivering high performance ASICs focusing on architecture and performance analysis
- 3Proficiency in C++ and Python for simulation models automation frameworks and performance analysis tools
- 4Experience with data center AI accelerator or HPC workloads on custom silicon
- 5Master's or PhD in Electrical Engineering Computer Engineering or related field
- 6Familiarity with post-silicon performance validation and model-to-hardware correlation
- 7Experience building scaling performance modeling infrastructure for hyperscale data center ASICs including network storage or AI inference accelerators
- 8Domain knowledge in power performance tradeoffs ML networks such as PyTorch
- 9Master's or PhD in Electrical Engineering Computer Engineering or related field
- 10Experience building or scaling performance modeling infrastructure for Meta internal projects
Salary Insight
$212 - $294k per year
Location
Required Skills
Similar open positions
Explore active roles that match your skills and interests.
Meta
VerifiedMachine Learning SoC Architect at Meta
Meta seeks a Machine Learning SoC Architect to lead custom silicon design for data centers. You will define architecture performance modeling and roadmap while partnering with cross functional teams. This role drives innovation in ASICs for AI and data center workloads.
Meta
VerifiedSoftware Engineer AI Specialist Monetization Technical Leadership
Meta seeks a distinguished Software Engineer with deep AI specialization to drive transformative technical initiatives across its AI-powered products and platforms. You will define and lead the architectural direction of large-scale AI systems — spanning foundation models, intelligent ranking and recommendation infrastructure, and applied machine learning pipelines — that serve billions of users across Meta`s family of apps. This role defines the technical leadership for monetization AI efforts.
NXP Semiconductors
VerifiedASIC Design and Implementation Automation Engineer NXP Semiconductors
Lead AI/ML driven ASIC Design and Implementation Automation Engineer in Advanced Chip Engineering organization. Own methodology flows and tools to improve power performance area and quality for SoC and IP development teams. Collaborate with AI/ML and automation experts across industry and academia to explore state-of-the-art AI/ML CAD techniques. Develop prototype solutions evaluating AI/ML techniques to identify best solutions for NXP designs. Work on actual designs and implementation to pilot automation. Transform NXP designs for automotive processors and advanced microcontrollers. Fast-paced engineering environment on leading-edge advanced node technologies.
Openai
VerifiedSoftware Engineer Silicon Design Methodology OpenAI
OpenAI seeks a Software Engineer to lead the creation of design methodologies and infrastructure that empower a small silicon team to rapidly develop complex custom chips. The role focuses on translating hardware development needs into software abstractions and tools while collaborating with architecture and verification groups. Success means scaling chip development processes and improving confidence in performance and implementation outcomes.
Waymo
VerifiedSoC Architect Waymo
Waymo's Compute Team seeks a SoC Architect to define next‑generation autonomous vehicle SoCs. This hybrid role reports to an Engineering Director and leads microarchitecture specification, hardware‑software integration, and performance optimization. The ideal candidate owns major design blocks and drives delivery from concept to production.
Meta
VerifiedCompiler Architect - MTIA Software Technical Leadership
Principal-level Compiler Architect leads technical strategy for MTIA compiler infrastructure enabling efficient code generation on custom AI accelerators. Defines architecture for graph compilers and optimization spanning ML workload analysis to hardware-software co-design. Drives performance improvements and collaborates with hardware teams to influence accelerator decisions. Produces clear design documents and mentors engineers across the organization.