Staff + Senior Software Engineer, Inference 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 reliably 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.

Inference systems are highly performance sensitive distributed systems. Inference serves hundreds of thousands of customers every day, and the size & span of the inference fleet requires sophisticated routing, scaling, and networking systems.

Key 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 current model architectures

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 both business results and research breakthroughs

Care about the societal impacts of your work

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 (AWS, GCP, Azure)





Proficiency in Python or Rust

Representative projects

Designing intelligent routing algorithms that optimize request distribution across many accelerators in different environments

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 reliably

Contributing to recent inference features

Analyzing observability data to tune performance based on real-world production workloads

Managing multi-region deployments and geographic routing for global customers

Logistics Minimum education:

Bachelor’s degree or an equivalent combination of education, training, and/or experience

Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience

Minimum years of experience:

Years of experience required will correlate with the internal job level requirements for the position

Location-based hybrid policy:

Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.

Visa sponsorship: We do sponsor visas However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.

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

📌 Staff + Senior Software Engineer, Inference (Winnipeg)
🏢 Anthropic
📍 Winnipeg