Staff + Senior Software Engineer, Scaling

Details

Anthropic's Inference team builds and scales the critical systems that serve Claude to millions of users worldwide. The team operates large-scale, compute-agnostic inference deployments and owns the stack from intelligent request routing to fleet-wide orchestration across diverse AI accelerators.

The role focuses on maximizing compute efficiency while enabling high-performance inference infrastructure for next-generation model research. The work involves complex distributed systems challenges across multiple accelerator families, emerging AI hardware, and multiple cloud platforms.

Responsibilities

• Design, build, and maintain 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 and multiple cloud providers.
• Maximize compute efficiency and optimize fleet costs through autoscaling and orchestration of production, research, and experimental workloads across multiple cloud providers.
• 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.

Requirements

Minimum Qualifications

• Significant software engineering experience, particularly with distributed systems.
• A results-oriented approach with a bias toward flexibility and impact.
• Willingness to take on work outside the formal job description when needed.
• Desire to learn more about machine learning systems and infrastructure.
• Ability to thrive in environments where technical excellence drives business results and research breakthroughs.
• Care about the societal impacts of the work.
• A bachelor's degree or equivalent combination of education, training, and experience.
• A field of study relevant to the role, as demonstrated through coursework, training, or professional experience.

Preferred Qualifications

• 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, including AWS, GCP, or Azure.
• Proficiency in Python or Rust.

Representative Projects

• Designing intelligent routing algorithms that optimize request distribution across accelerators in different environments.
• Autoscaling the compute fleet to dynamically match supply with demand across production, research, and experimental workloads.
• Building production-grade deployment pipelines for reliably releasing new models to millions of users.
• Contributing to new inference features.
• 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

Anthropic offers competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and office spaces for collaboration. Anthropic also provides immigration lawyer support for visa sponsorship where applicable.