← All roles

Performance Engineer

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

About the role

Performance Engineer responsible for identifying novel systems problems in large-scale ML deployments and developing systems to optimize throughput and robustness of Anthropic's distributed systems.

Responsibilities

  • Implement low-latency high-throughput sampling for large language models
  • Implement GPU kernels to adapt our models to low-precision inference
  • Write a custom load-balancing algorithm to optimize serving efficiency
  • Build quantitative models of system performance
  • Design and implement a fault-tolerant distributed system running with a complex network topology
  • Debug kernel-level network latency spikes in a containerized environment

Qualifications

  • Significant software engineering or machine learning experience, particularly at supercomputing scale
  • Results-oriented with a bias towards flexibility and impact
  • Willingness to pick up Slack beyond job description
  • Enjoy pair programming
  • Interest in learning more about machine learning research
  • Care about societal impacts of work

Skills

Required:software engineeringmachine learning
Nice to have:pair programming

Benefits

  • Competitive compensation and benefits
  • optional equity donation matching
  • generous vacation and parental leave
  • flexible working hours
  • lovely 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.

ai-infrastructure-and-developmentliquid-ai-recruiting-targetsetter-30setter-30-2026-q1wing-list-2026wing-list-2026-giga-stage
Company profileWebsite

More open roles at Anthropic