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Kernel Engineer - New Grad

Cerebras· University Departments
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Hybrid (Sunnyvale, CA)Full-timePosted 3mo ago

About the role

Kernel Engineer at Cerebras Systems developing high-performance software for the Cerebras Wafer-Scale Engine, focusing on ML and HPC kernel design, optimization, and validation in a hardware-software co-design environment.

Responsibilities

  • Help design and implement machine learning and linear algebra kernels for the Cerebras Wafer-Scale Engine.
  • Develop and debug high-performance kernel routines using low-level programming techniques and the Cerebras Software Language, a custom C-like language.
  • Apply parallel programming algorithms to map computational workloads efficiently onto the Cerebras architecture.
  • Use mathematical analysis, performance data, and profiling tools to evaluate kernel behavior and inform design decisions.
  • Identify and investigate correctness, performance, and hardware utilization issues.
  • Develop unit tests and system-level validation methodologies to verify the functionality and performance of kernel libraries.
  • Collaborate with kernel, compiler, performance, and hardware engineers to improve software and system performance.
  • Study emerging machine learning workloads and contribute to the evolution of the kernel library.
  • Participate in code reviews, technical discussions, and software development processes.
  • Build an understanding of the Cerebras architecture, instruction set, memory system, and communication model.

Qualifications

  • Bachelor’s, Master’s, or PhD in Computer Science, Computer Engineering, Electrical Engineering, Mathematics, or a related field.
  • Strong programming fundamentals in C++ and familiarity with Python.
  • Understanding of foundational computer architecture concepts such as processors, memory hierarchies, instruction execution, or data movement.
  • Knowledge of data structures, algorithms, and software development fundamentals.
  • Experience debugging software through coursework, internships, research, co-op placements, or technical projects.
  • Strong analytical and problem-solving skills.
  • Interest in low-level software, parallel computing, performance optimization, or hardware/software co-design.
  • Ability to learn unfamiliar systems and collaborate effectively within a technical team.

Skills

Required:C++PythonFoundational computer architectureParallel programming
Nice to have:Low-level softwareKernel development / HPC

Benefits

  • This field is not explicitly listed in the description; omitted.
Last updated Aug 30, 2026. Interested? Apply on the company site.

About Cerebras

Cerebras is the go-to platform for fast and effortless AI training. Learn more at cerebras.ai.

Cerebras is the go-to platform for fast and effortless AI training.

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