ML Performance Benchmarking Engineer

Posted 2 weeks ago

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About the role

  • ML Performance Benchmarking Engineer at Cerebras Systems, transforming AI inference with cutting-edge technology. Collaborating with teams to optimize performance across the software stack.

Responsibilities

  • Design and implement end-to-end telemetry systems across the software stack, providing deep visibility into inference performance.
  • Architect, build, and scale the automation that generates, analyzes, and visualizes performance data.
  • Dive deep into system behavior, dissect performance bottlenecks, and deliver actionable insights that influence features.
  • Partner closely with Core Platform teams to define rigorous testing methodologies that validate inference features for peak performance.

Requirements

  • Bachelor’s or Master’s degree in Computer Engineering, Systems Engineering, or a related field.
  • Proficiency in Python and/or C++ programming.
  • Proven experience in building and scaling automated infrastructure.
  • Strong background in throughput and performance optimization techniques, especially in complex, large-scale systems.
  • Excellent problem-solving skills and a strong analytical mindset.
  • Demonstrated ability to dive deep into new domains.
  • Ability to work in a fast-paced, ambiguous, and collaborative environment.
  • Familiarity with problem-solving at the intersection of hardware and software.
  • Hands-on experience with AI workloads and architectures is a plus.

Benefits

  • 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.

Job type

Full Time

Experience level

Mid levelSenior

Salary

Not specified

Degree requirement

Bachelor's Degree

Tech skills

Python

Location requirements

HybridTorontoCanada

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