Performance Engineer Inference Systems

AI safety and research company building reliable, interpretable, and steerable AI systems, including the Claude product family and developer platform.

San Francisco, United States
About Anthropic

Anthropic PBC develops frontier AI systems and deploys them through Claude products and the Claude Platform, with a stated focus on safety, interpretability, and steerability.

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Skills

Candidate Availability

Required and preferred rules are kept separate and reflect the wording in the original posting.

About the Role

You will investigate performance, reliability, and correctness across the inference stack. You will build observability and modeling tools, improve output-correctness evaluations, identify high-impact optimization opportunities, and partner with component owners to deliver improvements.

Requirements

  • Performance engineering
  • Profiling
  • Roofline analysis
  • Latency optimization
  • Throughput optimization
  • Root-cause investigation
  • Python
  • SQL
  • Pandas
  • Data analysis
  • Numerics
  • Evaluation design
  • Regression detection

Responsibilities

  • Investigate throughput, latency, and reliability issues across the inference stack
  • Improve the correctness evaluation pipeline across hardware platforms and serving configurations
  • Build observability, dashboards, and modeling tools
  • Partner with kernel, serving, routing, autoscaling, and capacity teams on optimizations
  • Prioritize opportunities by impact and effort

Benefits

  • Equity donation matching
  • Generous vacation
  • Parental leave
  • Flexible working hours
Performance Engineer Inference Systems at Anthropic | JobStash