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CoDesign & NextGen Performance Engineer

Job in Sunnyvale, Santa Clara County, California, 94087, USA
Listing for: Cerebras
Full Time position
Listed on 2026-07-20
Job specializations:
  • Software Development
    AI Engineer (Applied/Software), Machine Learning/ ML Engineer, Software Engineer
Salary/Wage Range or Industry Benchmark: 150000 - 210000 USD Yearly USD 150000.00 210000.00 YEAR
Job Description & How to Apply Below

Overview

Cerebras Systems builds the world's largest AI chip, 56 times larger than GPUs. This architecture enables industry-leading training and inference speeds, over 10 times faster than GPU-based hyperscale cloud inference services. This speed increase transforms AI applications by enabling real-time iteration and increased intelligent computation.

Cerebras collaborates with leading model labs, global enterprises, and AI-native startups. OpenAI recently announced a multi-year partnership with Cerebras to deploy scale and transform key workloads with ultra high-speed inference.

About

The Role

This role focuses on characterizing, analyzing, and optimizing the performance of state-of-the-art AI models running on Cerebras’ breakthrough hardware. You will work across the hardware and software stack to identify bottlenecks, improve computational efficiency, and influence the design of Cerebras’ next-generation AI architecture and software systems.

Responsibilities
  • Bring up and optimize performance on new generations of the Cerebras WSE.

  • Build performance models (kernel-level, end-to-end) to estimate the performance of state-of-the-art and customer ML models.

  • Optimize and debug kernel micro code and compiler algorithms to elevate ML model inference speed, throughput, and compute utilization on the Cerebras WSE.

  • Debug and understand runtime performance on the system and cluster.

  • Develop tools and infrastructure to visualize performance data collected from the Wafer Scale Engine and our compute cluster.

Skills & Qualifications
  • 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 debugging on any system pipeline.

  • Comfort with C++ and Python.

Why Join Cerebras
  • 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.

  • Find out more about what it is like to work at Cerebras here.

    Apply today and become part of the forefront of groundbreaking advancements in AI!

    Equal employment opportunity statement:
    Cerebras Systems is committed to creating an equal and diverse environment and is proud to be an equal opportunity employer. We celebrate different backgrounds, perspectives, and skills. We believe inclusive teams build better products and companies. We strive daily to create a work environment that empowers people to do their best work through continuous learning, growth, and support of those around them.

    This website or its third-party tools process personal data. For more details,  to review our CCPA disclosure notice.

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