Engineering Manager Accelerator Platform

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

Every time someone talks to Claude -- through the API, claude.ai, our cloud partners, or any of our expanding surfaces -- the request lands on an AI accelerator. Not one kind, many kinds: TPUs, Trainium chips, GPUs. Each arrives with its own software stack, performance characteristics, failure modes, and operational quirks. Someone has to take raw silicon and turn it into a platform that the rest of Anthropic can build on without thinking about which chip is underneath. That's us.

The Accelerator Platform team owns the bringup and normalization of new hardware platforms for Anthropic's first party inference fleet. We sit between the low-level systems teams and the serving infrastructure that runs production inference -- bridging the gap so that every new accelerator generation ships as a first-class production platform. It's deeply technical work at the intersection of hardware enablement, digital signal processing, and software engineering.

We're looking for an Engineering Manager to lead the Accelerator Platform team. As the leader of this team, you will be responsible for:

• Defining and executing the team's technical strategy and roadmap
• Building and maintaining relationships with cross-functional teams, including hardware enablement, software engineering, and serving infrastructure
• Developing and mentoring team members to ensure they have the skills and knowledge needed to succeed
• Collaborating with other teams to ensure the Accelerator Platform is integrated into the broader Anthropic infrastructure
• Representing the Accelerator Platform team in internal and external forums, and communicating the team's goals and progress to stakeholders

We're looking for someone who has:

• A strong technical background in computer science, electrical engineering, or a related field
• Experience leading a team of engineers, and a track record of success in that role
• Excellent communication and collaboration skills
• A passion for building and maintaining complex systems
• A commitment to diversity, equity, and inclusion

We offer a competitive salary, equity, and benefits package, as well as the opportunity to work on cutting-edge AI technology and make a meaningful impact on the world.