Cerebras
CoDesign & NextGen Performance Engineer
Sunnyvale, CA +1 · Hybrid · Full-time · Posted Jul 14, 2026
- Location
- Sunnyvale, CA
Toronto, CAN - Experience
- 3+ years in a relevant domain (Computer Architecture, CPU/GPU Performance, Kernel Optimization, HPC).
- Education
- Bachelor’s / Master’s / PhD in Electrical Engineering or Computer Science.
About the job
Characterize and optimize AI model performance on Cerebras hardware, improving efficiency across the hardware and software stack and informing next-generation architecture and software design.
What you'll do
- Bring up new Cerebras WSE generations and build performance models for kernels and end-to-end ML models.
- Optimize and debug kernel micro code, compiler algorithms, and runtime performance across systems and clusters.
- Develop tools to visualize performance data from the Wafer Scale Engine and compute cluster.
What they ask for
- Bachelor’s, Master’s, or PhD in Electrical Engineering or Computer Science, with a strong computer architecture background.
- Exposure to and understanding of low-level deep learning / LLM math.
- Experience working on CPU/GPU simulators and exposure to performance profiling and debugging.
- Comfort with C++ and Python.
Tools
C++, Python, Cerebras WSE, CPU/GPU simulators
AI focus
Optimize performance, inference speed, throughput, and compute utilization for state-of-the-art AI and ML models on Cerebras hardware.
Model-written summary · the original posting is authoritative