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Principal AI Accelerator Architect

Cerebras Systems builds the world's largest AI chip, 56 times larger than GPUs. This architecture allows Cerebras to deliver industry-leading training and inference speeds; over 10 times faster than GPU-based hyperscale cloud inference serv

In inglese

Company

Cerebras

Location

Sunnyvale, CA

Status

Open

Posted

2026-07-10T19:52:48.544+00:00

Cerebras is hiring a principal architect for next-generation AI accelerators. The role is end-to-end: identify opportunities from AI workloads, quantify performance and efficiency value, define microarchitecture, and establish implementation feasibility across hardware and software. Work includes performance models, workload studies, RTL or synthesis experiments, specifications, and design reviews with multiple teams. The posting asks for 10+ years in computer architecture or processor development, quantitative judgment, Python or C++ modeling experience, and familiarity with RTL, synthesis, timing, power, and physical-design considerations. The focus is architectural ownership rather than production RTL.