Computer Architect
Listed on 2026-08-01
-
Design & Architecture
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 this job is in fact in your jurisdiction, then you may be using a Proxy or VPN to access this site, and to progress further, you should change your connectivity to another mobile device or PC).