Staff + Senior Software Engineer, Inference Deployment at Anthropic

Hybrid - San Francisco, CA; New York City, NY; Seattle, WA

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Our Inference team builds and maintains the critical systems that serve Claude to millions of users worldwide. We enable the entire stack from intelligent request routing to fleet-wide orchestration across diverse AI accelerators, maximizing compute efficiency while supporting breakthrough research with high-performance inference infrastructure.

Salary

USD 320,000 - 485,000

Requirements

Skills

  • Significant software engineering experience, particularly with distributed systems
  • Results-oriented, with a bias towards flexibility and impact
  • Willingness to pick up slack, even if it goes outside your job description
  • Desire to learn more about machine learning systems and infrastructure
  • Thrive in environments where technical excellence directly drives business results and research breakthroughs
  • Care about the societal impacts of your work
  • Experience with high-performance, large-scale distributed systems
  • Experience implementing and deploying machine learning systems at scale
  • Experience with load balancing, request routing, or traffic management systems
  • Familiarity with LLM inference optimization, batching, and caching strategies
  • Experience with Kubernetes and cloud infrastructure (AWS, GCP, Azure)
  • Proficiency in Python or Rust

Responsibilities

  • Design, build, and maintain the distributed systems that serve Claude to millions of users worldwide
  • Develop resilient, flexible systems that adapt in real time to real world events
  • Develop intelligent request routing, load balancing, and traffic management systems across thousands of accelerators
  • Maximize compute efficiency across the fleet by autoscaling and orchestrating production, research, and experimental workloads
  • Build and operate production-grade deployment pipelines for releasing new models to users
  • Provide high-performance inference infrastructure that enables researchers to develop next-generation models
  • Integrate new AI accelerator platforms and support inference for new model architectures

Technologies

Distributed systemsIntelligent request routingLoad balancingTraffic managementAutoscalingDeployment pipelinesInference infrastructureAI accelerator platformsKubernetesAWSGCPAzurePythonRust

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