Hardware Architect

Acceler8 Talent is seeking an experienced Hardware Architect to join a well funded startup whose hardware promises to drastically change the economics of compute for the worlds' largest models.

With over $600m raised, and a world-class team with a track record of shipping highly successful products, this company abandons legacy chip design assumptions and strives for the best possible solution for every aspect of their chip - there is no such thing as "good enough".

As a Hardware Architect, you will define the ISA and microarchitecture for next-generation compute engines, working at the intersection of research, software, and hardware. You will translate ML/AI workload requirements into architectural specifications and guide the design from concept through first silicon and bring-up.

What You'll Do Here

• Define ISA and microarchitecture for compute cores, memory subsystems, and interconnects
• Derive architectural requirements directly 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 closely with Research, Software, RTL, and Physical Design teams to ensure cohesive execution
• Participate in architecture reviews, design reviews, and test planning
• Support first-silicon bring-up and post-silicon debug

• Strong background in computer architecture with deep understanding of modern compute systems
• 3+ years experience translating workloads/algorithms into hardware architectures
• Proven ability to evaluate hardware cost, area, timing, and power tradeoffs
• Excellent fundamentals in latency, throughput, and scalability theory
• 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 using constructs such as structs and tagged unions
• Strong verbal and written communication skills, with the ability to clearly document and defend architectural decisions
• Comfortable working cross-functionally in a fast-paced, execution-driven environment

Bonus Points If You Have

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