Ml Performance Benchmarking Engineer

Cerebras Systems

Toronto, Canada
On-site
Python and/or c++ programming
Automated infrastructure scaling
Performance optimization techniques
Cerebras builds the world's largest AI chip, offering industry-leading training and inference speeds

Job Summary

  • Cerebras builds the world's largest AI chip, offering industry-leading training and inference speeds.
  • The ML Performance Benchmarking team shapes the performance and scalability of AI inference on advanced computing systems.
  • Join Cerebras to build a breakthrough AI platform beyond GPU constraints and work on one of the fastest AI supercomputers.

Matching Summary

Cerebras builds the world's largest AI chip, offering industry-leading training and inference speeds.

Skills & Requirements

Must-have

  • Python and/or C++ programming
  • Automated infrastructure scaling
  • Performance optimization techniques
  • Large-scale systems analysis
  • Core inference observability

Nice-to-have

  • Hardware and software intersection problem-solving
  • AI workloads and architectures experience

Key Requirements

  • Bachelor's or Master's degree
  • Proficiency in Python and/or C++
  • Proven experience in building and scaling automated infrastructure
  • Strong background in throughput and performance optimization
  • Excellent problem-solving and analytical skills

Work Rights

Not specified

Tailored Resume

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