Cerebras Systems

Cerebras Systems

ML Performance Benchmarking Engineer

Toronto, Ontario, Canada

Sponsorship not specifiedDetected 75 days ago
PythonC++Full-Stack DevelopmentMachine LearningLLMsComplianceSystems EngineeringProblem Solving

About the role

  • We are responsible for the full stack-from model compilation and scheduling down to custom hardware kernels and driver development.
  • The ML Performance Benchmarking team plays a pivotal role in shaping the performance and scalability of AI inference on one of the most advanced computing systems ever built.
  • We're looking for passionate engineers to join us in redefining the limits of AI inference.

Responsibilities

  • We drive the bring-up of core inference capabilities and deliver performance improvements at every stage of development - from early prototyping to production deployment.
  • Core Inference Observability - Design and implement end-to-end telemetry systems across the software stack, providing deep visibility into inference performance and enabling rapid iteration before and after deployment.
  • Benchmarking Infrastructure - Architect, build, and scale the automation that generates, analyzes, and visualizes performance data used to inform business decisions across engineering and leadership.
  • Performance Analysis - Dive deep into system behavior, dissect performance bottlenecks, and deliver actionable insights that directly influence which features ship and how they evolve.
  • People who are serious about software make their own hardware.

Requirements

  • Bachelor's or Master's degree in Computer Engineering, Systems Engineering, or a related field.
  • Proficiency in Python and/or C++ programming.
  • 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.

Nice to have

  • Preferred Skills & Qualifications
  • Hands-on experience with AI workloads and architectures is a plus.

Skills

  • Five Reasons to Join Cerebras in 2026.
  • Cerebras Systems is committed to creating an equal and diverse environment and is proud to be an equal opportunity employer.
  • This website or its third-party tools process personal data.

Company info

  • 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.
  • The Inference Core Platform group is at the heart of Cerebras' mission to deliver the world's fastest AI inference.

This listing is sourced directly from Cerebras Systems's careers page and normalized into a canonical job model.