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Performance Reliability Engineer

United States; Canada, Sunnyvale · Job Posted February 17, 2026
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Job Description

Join Cerebras as a Performance & Reliability Engineer within our innovative Co-Design and Next Generation Team. Our groundbreaking CS-3 system has set new benchmarks in high-performance ML training and inference solutions. It leverages a dinner-plate sized chip with 44GB of on-chip memory to surpass traditional hardware capabilities. This role focuses on characterizing and optimizing the performance and reliability of state-of-the-art AI models running on Cerebras' breakthrough hardware.

Job Responsibility

  • Characterize and enhance the performance and reliability of advanced ML hardware/software systems, with emphasis on reducing power and thermal fluctuations
  • Analyze ML workloads, software kernels, and hardware architecture for power and performance impacts, and synthesize high-level insights across these layers
  • Develop creative software solutions to improve reliability and performance, collaborating cross-functionally to deploy these solutions in production
  • Influence the design of Cerebras' next-generation AI architecture and software stack through rigorous workload analysis and computational efficiency optimization
  • Partner with ML engineers, researchers, and reliability specialists to understand model behavior and drive system-level improvements from a software perspective
  • Collaborate with teams in architecture, silicon, and research to advance our computational platforms and influence future system designs

Requirements

  • BS, MS, or PhD in Computer Science, Electrical Engineering, or a related field
  • 3+ years of relevant experience in performance engineering, reliability, computer architecture, and/or software design
  • Proficiency in Python or other scripting languages
  • Experience with C/C++ and assembly programming
  • Demonstrated expertise with system-level performance and reliability optimization
  • Strong verbal and written communication skills

Nice to have

  • Hands-on experience with ML models, ML frameworks, and collective communication
  • Understanding of thermal management principles and power delivery for advanced semiconductors

What we offer

  • 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

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