Hardware Architect

Hardware ArchitectAcceler8 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 HereDefine ISA and microarchitecture for compute cores, memory subsystems, and interconnectsDerive architectural requirements directly from ML/AI use cases and emerging model trendsAuthor detailed architectural specifications and structured interface definitionsSpecify numeric formats and quantization strategies optimized for AI workloadsEstimate area, timing, and power to inform architectural tradeoffsCollaborate closely with Research, Software, RTL, and Physical Design teams to ensure cohesive executionParticipate in architecture reviews, design reviews, and test planningSupport first-silicon bring-up and post-silicon debugWho You AreStrong background in computer architecture with deep understanding of modern compute systems3+ years experience translating workloads/algorithms into hardware architecturesProven ability to evaluate hardware cost, area, timing, and power tradeoffsExcellent fundamentals in latency, throughput, and scalability theoryKnowledge of numeric formats, quantization techniques, and precision tradeoffs for ML workloadsExperience with programming and performance/code optimizationAbility to define structured interfaces and bit-level encodings using constructs such as structs and tagged unionsStrong verbal and written communication skills, with the ability to clearly document and defend architectural decisionsComfortable working cross-functionally in a fast-paced, execution-driven environmentBonus Points If You HaveFamiliarity with parallel execution models such as VLIW, SIMD, or vector architecturesExperience designing custom ML silicon or AI systemsIf 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.