Anthropic
Technology
Staff+SeniorSoftwareEngineer,Inference
Neural analysis suggests this role is
optimal for Senior candidates.
“Staff + Senior Software Engineer, Inference at Anthropic. Skills: Distributed systems, Inference infrastructure, AI accelerators. Design distributed systems. Build distributed systems”
Industry & Context.
Distributed systems challenges
What They're Looking For.
Must Have
Significant software engineering experience, Distributed systems experience, Results-oriented, Bias towards flexibility, Bias towards impact, Willingness to pick up slack, Desire to learn ML systems, Thrive in technical excellence environments, Care about societal impacts
Nice to Have
Experience with high-performance systems, Experience with large-scale distributed systems, Experience implementing ML systems at scale, Experience with load balancing, Experience with request routing, Experience with traffic management systems, Familiarity with LLM inference optimization, Familiarity with batching, Familiarity with caching strategies, Kubernetes experience, Cloud infrastructure experience, AWS experience, GCP experience, Azure experience, Python proficiency, Rust proficiency
What You'll Do.
Design distributed systems
Build distributed systems
Maintain distributed systems
Develop intelligent request routing
Develop load balancing systems
Develop traffic management systems
Maximize compute efficiency
Autoscale compute fleet
Orchestrate production workloads
Orchestrate research workloads
Orchestrate experimental workloads
Build deployment pipelines
Operate deployment pipelines
Provide inference infrastructure
Integrate AI accelerator platforms
Support inference for new models
Use observability data
How You'll Work.
Team & Collaboration
Cross-functional teams; Research discussions
Full Job Description
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role 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. Key responsibilities Design, build, and maintain the distributed systems that serve Claude to millions of users worldwide 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 Use observability data to tune and improve performance based on real-world production workloads Minimum qualifications Significant software engineering experience, particularly with distributed systems Results-or
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