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Performance Engineer, GPU

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

About the role

GPU Performance Engineer role focused on architecting and implementing foundational GPU performance and systems engineering to maximize utilization and inference efficiency for large language models at Anthropic.

Responsibilities

  • Pioneering GPU performance improvements and systems engineering for Claude-scale workloads
  • Architect and implement foundational systems spanning hardware–software stack
  • Develop optimizations from low-level kernel development to distributed synchronization across thousands of GPUs
  • Deliver transformative performance improvements in production ML systems
  • Collaborate with researchers and engineers to shape AI infrastructure

Qualifications

  • Experience with GPU programming and optimization at scale
  • Ability to navigate complex systems from hardware interfaces to high-level ML frameworks
  • Strong collaboration and problem-solving skills
  • Interest in state-of-the-art language models and societal impact of AI
  • Ability to thrive in ambiguous environments

Skills

Required:GPU programming and optimization at scaleCollaboration and pair programming
Nice to have:Low-level kernel developmentDistributed systems for multi-node GPUsQuantization and mixed-precision techniques

Benefits

  • Competitive compensation and benefits
  • Optional equity donation matching
  • Generous vacation and parental leave
  • Flexible working hours
  • Collaborative office space
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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