ML Performance Engineer: Algorithm Mapping AI Accelerators
Listed on 2026-10-10
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Software Development
AI Engineer (Applied/Software), Machine Learning/ ML Engineer, AI Reliability/ Performance Engineer, AI QA / Validation Engineer
Cerebras Systems builds the world's largest AI chip and leads in fast ML training and inference. We seek an engineer to map advanced algorithms to Cerebras architecture, benchmark against GPUs, and understand trade-offs as models scale.
You will develop performance models, run experiments, and help push frontier-grade efficiency across our systems. You will combine analytical modeling with hands-on prototyping, spanning kernel-level to end-to-end performance, while evaluating new techniques and
Join us at Cerebras as our next ML Performance Engineer:
Algorithm Mapping for AI Accelerators in United States.
We appreciate your interest in this position.
Join Cerebras and contribute to our ongoing work.
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This posting is for the ML Performance Engineer:
Algorithm Mapping for AI Accelerators role at Cerebras, based in United States.
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