Capacity Efficiency & Performance Engineer

Anthropic is seeking a Capacity Efficiency & Performance Engineer to join their mission of creating reliable, interpretable, and steerable AI systems. This role is crucial in shaping the company's cloud infrastructure strategy and efficiency initiatives.

As a member of the Capacity Efficiency & Performance team, you'll work at the intersection of infrastructure, machine learning, and business operations. Your responsibilities will span from developing self-service tools for capacity monitoring to implementing sophisticated ML-informed forecasting models.

The ideal candidate brings 5+ years of experience in capacity efficiency or performance engineering, with strong knowledge of public cloud providers and Kubernetes-based ML infrastructure. You'll collaborate with research teams, engineering leadership, and finance stakeholders to optimize infrastructure costs and performance.

Anthropic offers a unique work environment focused on big science and collaborative research. Based in San Francisco, the company provides competitive compensation ($320,000-$405,000), comprehensive benefits, and a flexible hybrid work arrangement requiring minimum 25% office presence.

The role involves working with cutting-edge AI technology, including LLM training and inference workloads, while contributing to Anthropic's mission of developing safe and beneficial AI systems. You'll be part of a growing team of researchers, engineers, and policy experts working on some of the most impactful challenges in AI development.

This position offers the opportunity to work on large-scale distributed systems, implement advanced observability solutions, and partner with leading cloud providers and hardware vendors. The company values diversity of perspective and encourages applications from candidates with varied backgrounds and experiences.

Join Anthropic to help shape the future of AI infrastructure while working in an environment that prioritizes impact, scientific rigor, and ethical AI development. The company's commitment to public benefit and comprehensive approach to AI safety makes this an unique opportunity for those passionate about both technical excellence and responsible AI advancement.