Staff Software Engineer (Inference)

• Our Inference team is responsible for building and maintaining the critical systems that serve Claude to millions of users worldwide
• We bring Claude to life by serving our models via the industry’s largest compute-agnostic inference deployments
• We are responsible for the entire stack from intelligent request routing to fleet-wide orchestration across diverse AI accelerators
• The team has a dual mandate: maximizing compute efficiency to serve our explosive customer growth, while enabling breakthrough research by giving our scientists the high-performance inference infrastructure they need to develop next-generation models
• We tackle complex, distributed systems challenges across multiple accelerator families and emerging AI hardware running in multiple cloud platforms
• As a Staff Software Engineer on our Inference team, you will work end to end, identifying and addressing key infrastructure blockers to serve Claude to millions of users while enabling breakthrough AI research
• Representative projects across the org
• Designing intelligent routing algorithms that optimize request distribution across thousands of accelerators
• Autoscaling our compute fleet to dynamically match supply with demand across production, research, and experimental workloads
• Building production-grade deployment pipelines for releasing new models to millions of users
• Integrating new AI accelerator platforms to maintain our hardware-agnostic competitive advantage
• Contributing to new inference features (e.g., structured sampling, prompt caching)
• Supporting inference for new model architectures
• Analyzing observability data to tune performance based on real-world production workloads
• Managing multi-region deployments and geographic routing for global customers

Benefits

• Comprehensive health, dental, and vision insurance for you and your dependents
• Inclusive fertility benefits via Carrot Fertility
• 22 weeks of paid parental leave
• Flexible paid time off and absence policies
• Mental health support for you and your dependents
• Competitive salary and equity packages
• Optional equity donation matching at a 1:1 ratio, up to 25% of your equity grant
• Retirement plans with competitive matching
• Life and income protection plans
• $500/month flexible wellness and time saver stipend
• Commuter benefits
• Annual education stipend
• Home office stipends
• Relocation support for those moving for Anthropic
• Daily meals and snacks in the office- LLM inference optimization, batching, and caching strategies
• Implementing and deploying machine learning systems at scale
• Thrive in environments where technical excellence directly drives both business results and research breakthroughs
• Familiarity with LLM inference optimization, batching strategies, and multi-accelerator deployments is highly encouraged but not strictly necessary
• Python or Rust
• Want to learn more about machine learning systems and infrastructure
• You may be a good fit if you:
• Care about the societal impacts of your work
• Are results-oriented, with a bias towards flexibility and impact
• Education requirements: We require at least a Bachelor’s degree in a related field or equivalent experience
• Have significant software engineering experience, particularly with distributed systems
• Strong candidates should have familiarity with performance optimization, distributed systems, large-scale service orchestration, and intelligent request routing
• Strong candidates may also have experience with:
• High-performance, large-scale distributed systems
• Pick up slack, even if it goes outside your job description
• Load balancing, request routing, or traffic management systems
• Kubernetes and cloud infrastructure (AWS, GCP)
• We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed- Deadline to apply: None. Applications will be reviewed on a rolling basis