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TPU Kernel Engineer

Anthropic· AI Research & Engineering
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Hybrid (San Francisco, CA), Hybrid (New York City, NY), Hybrid (Seattle, WA)$280k - $850kPosted 11mo ago

About the role

Role focused on identifying and addressing performance issues across ML systems (research, training, inference) with emphasis on designing and optimizing kernels for TPUs, and providing feedback to researchers on performance implications of model changes.

Responsibilities

  • Identify and address performance issues across diverse ML systems (research, training, inference).
  • Design and optimize kernels for TPUs.
  • Provide feedback to researchers about how model changes impact performance.

Qualifications

  • Significant experience optimizing ML systems for TPUs, GPUs, or other accelerators

Skills

Required:ML systems optimizationKernel design and optimization

Benefits

  • Competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, office space for collaboration
Last updated Jul 8, 2026. Interested? Apply on the company site.

About Anthropic

building reliable, interpretable, and steerable AI systems

Anthropic is an AI safety and research company that's working to build reliable, interpretable, and steerable AI systems.

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