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Staff GPU Inference SDET

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

Company

Cerebras

Location

Sunnyvale, CA; Toronto, CAN

Status

Open

Posted

2026-09-09T22:33:33.947+00:00

Cerebras seeks a Staff GPU Inference SDET as the founding quality and validation lead for a new GPU inference development team, working hybrid from Sunnyvale or Toronto. The work spans release-qualification pipelines and automated test suites for multi-node GPU clusters, benchmarking distributed LLM serving (prefill versus decode, KV-cache, batching), numerical correctness and precision checks, and fault-injection testing. The posting asks for 8+ years in SDET or systems test engineering, expert Python, and orchestration and interconnect tooling such as Kubernetes and InfiniBand. Being the team's first quality hire sets it apart.