Cerebras Systems
ML Systems Performance Engineer
Sunnyvale CA or Toronto Canada
Sponsorship not specifiedDetected 71 days ago
C++AlgorithmsMachine LearningDeep LearningLLMsComplianceElectrical EngineeringProblem Solving
About the role
- Engineers on the inference performance team operate at the intersection of hardware and software, driving end-to-end model inference speed and throughput.
- Their work spans low-level kernel performance debugging and optimization, system-level performance analysis, performance modeling and estimation, and the development of tooling for performance projection and diagnostics.
Responsibilities
- Build performance models (kernel-level, end-to-end) to estimate the performance of state of the art and customer ML models.
- Optimize and debug our kernel micro code and compiler algorithms to elevate ML model inference speed, throughput and compute utilization on the Cerebras WSE.
- Develop tools and infrastructure to help visualize performance data collected from the Wafer Scale Engine and our compute cluster.
Requirements
- 3+ years of experience in a relevant domain (Computer Architecture, CPU/GPU Performance, Kernel Optimization, HPC).
- Experience working on CPU/GPU simulators.
- Comfort with C++ and Python.
Skills
- Five Reasons to Join Cerebras in 2026.
- Cerebras Systems is committed to creating an equal and diverse environment and is proud to be an equal opportunity employer.
- This website or its third-party tools process personal data.
- For more details, click here to review our CCPA disclosure notice.
Company info
- Build a breakthrough AI platform beyond the constraints of the GPU.
- Publish and open source their cutting-edge AI research.
- Work on one of the fastest AI supercomputers in the world.
- Enjoy job stability with startup vitality.
- Our simple, non-corporate work culture that respects individual beliefs.
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