Computer Architect (AI)

TL;DR

Computer Architect (AI): Define ISA and microarchitecture for next-generation compute engines with an accent on compute cores, memory subsystems, and interconnects. Focus on translating ML/AI workload requirements into specifications, estimating area/timing/power tradeoffs, and guiding design from concept through silicon bring-up.

Location: Hybrid in Mountain View, CA (also available in New York City, NY; San Francisco, CA)

Company

Well-funded startup with $500m Series B funding, building hardware to drastically change the economics of compute for the world's largest AI models.

What you will do

• Define ISA and microarchitecture for compute cores, memory subsystems, and interconnects
• Derive architectural requirements from ML/AI use cases and emerging model trends
• Author detailed architectural specifications and structured interface definitions
• Specify numeric formats and quantization strategies optimized for AI workloads
• Estimate area, timing, and power to inform architectural tradeoffs
• Collaborate with Research, Software, RTL, and Physical Design teams
• Participate in reviews, test planning, first-silicon bring-up, and post-silicon debug

Requirements

• Strong background in computer architecture with deep understanding of modern compute systems
• 3+ years experience focused on architecting compute cores
• Proven ability to evaluate hardware cost, area, timing, and power tradeoffs
• Excellent fundamentals in latency, throughput, and scalability theory
• Strong knowledge of numeric formats, quantization techniques, and precision tradeoffs for ML workloads
• Experience with programming and performance/code optimization
• Ability to define structured interfaces and bit-level encodings
• Strong verbal and written communication skills
• Comfortable working cross-functionally in a fast-paced environment

Nice to have

• Familiarity with parallel execution models such as VLIW, SIMD, or vector architectures
• Experience designing custom ML silicon or AI systems