CoDesign & NextGen Performance Engineer
Cerebras · Sunnyvale, CA · Toronto, CAN
CHECKED 6H AGO
Infrastructureremote
At a glance
Highlights
- Optimize SOTA AI models on the world's largest AI chip.
- Bring up performance on new generations of Cerebras WSE.
- Influence design of next-gen AI architecture and software.
Ideal candidate
Computer architecture enthusiast with a strong analytical mindset who loves digging into low-level LLM performance and optimizing across hardware and software to shape future AI systems.
Requirements
- 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.
Lab profile
About Cerebras
Builds wafer-scale AI chips and cloud systems for ultra-fast training and inference.
What they build
- Wafer-scale AI chips
- AI training systems
- Cloud inference service
Known for
- 56x larger chips than GPUs
- 10x faster inference than GPU clouds
- Industry-leading training speed