Computer Architect

Acceler8 Talent is partnered with an extremely well funded startup whose hardware promises to drastically change compute for the world's most advanced models.

With over $600m raised, and a world-class team with a track record of shipping highly successful products, this start-up 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 Computer Architect, you will define the architecture next-generation compute engines, working at the intersection of research, software, and hardware. You will understand ML/AI workloads deeply and translate requirements into architectural specifications, guiding the design from concept through first silicon and bring-up.

What You’ll Do Here

• Define ISA 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

Who You Are

• 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

If you're excited about defining the architecture behind the next generation of AI compute, apply here or reach out to me at ltomaszko@acceler8talent.com to discuss further.