Performance Engineer

Anthropic
New York, San Francisco, Seattle
Workplace: OnsiteFull timeUSD 350,000 - 850,000 annuallyFunction: Software EngineeringEducation: bachelorsSkills: ["High-performance","Distributed systems","GPU programming","Load balancing","Kernel programming","Transformers","OS internals","Low-precision inference"]

Responsible for diagnosing and solving performance and scale challenges in Anthropic’s largest distributed ML systems, building systems to optimize throughput and robustness, and accelerating ML research through high-performance engineering, GPU-focused work, and close collaboration with ML researchers.

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FursaFursa
Anthropic
Anthropic
2 years ago

Performance Engineer

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Source: Company careers pageValidated by: Fursa AI
Last checked: 17 hours agoStatus: Live

Job Summary

Responsible for diagnosing and solving performance and scale challenges in Anthropic’s largest distributed ML systems, building systems to optimize throughput and robustness, and accelerating ML research through high-performance engineering, GPU-focused work, and close collaboration with ML researchers.
Location: New York, San Francisco, Seattle
Workplace: Onsite
Employment Type: Full time
Job Function: Software Engineering

Key Responsibilities

  • •Identify novel performance problems in large-scale ML systems and develop systems to optimize throughput and robustness
  • •Design and implement low-latency, high-throughput sampling for large language models
  • •Develop GPU kernels to optimize model inference at low precision
  • •Write a custom load-balancing algorithm to improve serving efficiency
  • •Build quantitative models of system performance and reliability

Pay and Benefits

Salary: USD 350,000 - 850,000 annually

Key Requirements

  • •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 your job description
  • •Enjoy pair programming
  • •Interest in learning more about machine learning research
Experience:SupercomputingMLHigh performance computing
Education:Bachelor's
Skills:High-performanceDistributed systemsGPU programmingLoad balancingKernel programmingTransformersOS internalsLow-precision inference
Languages:English
Tech Stack:GPUCUDATransformersLinuxKernelLoad-balancingDistributed systemsPythonC++

Eligibility

Work Authorization:Sponsorship available.

Company Brief

Anthropic
Develops large-scale AI systems and safety research to create reliable, steerable, and interpretable AI assistants and models for commercial and research applications.
Industry: AI & Machine Learning
Company Size: Enterprise (1,001+ employees)
Growth: Scaleup
Valuation: Unicorn (USD 1B+)
Funding: Series C
Headquarters: San Francisco, United States
Founded: 2021
WebsiteLinkedIn