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CoDesign & NextGen Performance Engineer
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
- 2026-07-14T20:38:37.834+00:00
Cerebras is hiring a performance engineer to characterize and optimize state-of-the-art AI models running on its wafer-scale hardware. The work spans kernel microcode and compiler algorithms, kernel-level and end-to-end performance models, cluster runtime debugging, and tooling that visualizes data from the WSE. Candidates need a degree in electrical engineering or computer science, a computer architecture background, familiarity with low-level deep learning math, C++ and Python, and at least three years in computer architecture, CPU/GPU performance, kernel optimization or HPC. The role is hybrid, based in Sunnyvale or Toronto.
Original job posting