Senior Kernel Optimization Engineer

Cerebras Systems

Kernel Engineer developing high-performance software for cutting-edge AI workloads at Cerebras Systems. Focus on optimizing and scaling deep learning operations for a massively parallel processor architecture.

Posted 5/21/2026full-timeRemote • California • 🇺🇸 United StatesSeniorWebsite

Tech Stack

Tools & technologies

AssemblyPythonPyTorchTensorflow

About the role

Key responsibilities & impact

Develop design specifications for new machine learning and linear algebra kernels and mapping to the Cerebras WSE System using various parallel programming algorithms.
Develop and debug kernel library of highly optimized low level assembly instruction and C-like domain specific language routines to implement algorithms targeting the Cerebras hardware system.
Develop and debug high-performance kernel routines in low-level assembly and a custom C-like (CSL) language, implementing algorithms optimized for the Cerebras hardware system.
Using mathematical models and analysis to measure the software performance and inform design decisions.
Develop and integrate unit and system testing methodologies to verify correct functionality and performance of kernel libraries.
Study emerging trends in Machine Learning applications and help evolve Kernel library architecture to address computational challenges of the start-of-the-art Neural Networks.
Interact with chip and system architects to optimize instruction sets, microarchitecture, and IO of next generation systems.

Requirements

What you’ll need

Bachelor’s, Master’s, PhD or foreign equivalents in Computer Science, Computer Engineering, Mathematics, or related fields.
Understanding of hardware architecture concepts — must be comfortable learning the details of a new hardware architecture.
Skilled in C++ and Python programming languages.
Good knowledge of library and/or API development best practices.
Strong debugging skills and knowledge of debugging complex software stack.
Experience in kernel development and/or testing.
Familiarity with parallel algorithms and distributed memory systems.
Experience in programming accelerators such as GPUs and FPGAs.
Familiarity with Machine Learning neural networks and frameworks such as TensorFlow and PyTorch.
Familiarity with HPC kernels and their optimization.

Benefits

Comp & perks

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.

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

C++Pythonlow-level assemblydomain specific languagekernel developmentdebuggingparallel algorithmsdistributed memory systemsHPC kernels optimizationMachine Learning

Soft Skills

problem-solvinganalytical thinkingcommunicationcollaboration

Certifications

Bachelor’s degreeMaster’s degreePhD