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CoDesign & NextGen Performance Engineer

Cerebras· Software Engineering
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Hybrid (Sunnyvale, CA), Hybrid (Toronto, CAN)Full-timePosted 3mo ago

About the role

Role focused on characterizing, analyzing, and optimizing the performance of state-of-the-art AI models running on Cerebras’ hardware. Work across hardware and software stack to identify bottlenecks, improve computational efficiency, and influence the design of Cerebras’ next-generation AI architecture and software systems.

Responsibilities

  • Bring up and optimize performance on new generations of the Cerebras WSE.
  • 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.
  • Debug and understand runtime performance on the system and cluster.
  • Develop tools and infrastructure to help visualize performance data collected from the Wafer Scale Engine and our compute cluster.

Qualifications

  • Bachelors / Masters / PhD in Electrical Engineering or Computer Science.
  • Strong background in computer architecture.
  • Exposure to and understanding of low-level deep learning / LLM math.
  • Strong analytical and problem-solving mindset.
  • 3+ years of experience in a relevant domain (Computer Architecture, CPU/GPU Performance, Kernel Optimization, HPC).
  • Experience working on CPU/GPU simulators.
  • Exposure to performance profiling and debug on any system pipeline.
  • Comfort with C++ and Python.

Skills

Required:Performance optimizationKernel optimizationPerformance modelingC++Python
Last updated Aug 30, 2026. Interested? Apply on the company site.

About Cerebras

Cerebras is the go-to platform for fast and effortless AI training. Learn more at cerebras.ai.

Cerebras is the go-to platform for fast and effortless AI training.

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