Principal Capacity Engineer, Compute

OverviewAnthropic’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 roleAnthropic’s Compute team is looking for a Principal Capacity Engineer to lead capacity planning, forecasting, and optimizing of our global infrastructure fleet. You’ll work closely with research, engineering, and finance teams to ensure we have scalable systems for capacity management, high-quality data and insights for planning, and engineering roadmaps that deliver efficiency wins and increase total effective compute. Experience with capacity management for AI workloads is preferred.ResponsibilitiesDesign, develop, and deliver capacity management systems for AI workloads on heterogenous infrastructureBuild and maintain robust attribution of usage and enable in-depth data-driven insightsOversee design and implementation of planning tools and systems-level guardrails for capacity planning and quota managementBuild a deep understanding of research and training workloads to accurately model cost-to-serve and cost-to-trainProactively identify efficiency opportunities and collaborate with teams across the org to increase total effective compute for AnthropicPartner closely with Finance and leadership, providing detailed and clear capacity inputs for financial planning and strategic decision makingYou may be a good fit if youHave experience working on capacity at a major cloud provider or hyperscaler companyHave experience driving cross-functional projects and interfacing with technical and non-technical stakeholdersHave experience working with LLMs and/or a deep interest in learning about model training and serving efficiencyAre comfortable leveraging data and have experience building observability for complex systemsHave strong interpersonal skills that enable you to influence without authority and build cross-organizational support for capacity initiativesStrong candidates may also havePast experience as a lead capacity engineerPast experience partnering with senior leadershipPast experience working on model training or model inferenceRepresentative ProjectsBuilding a system for capacity planning and optimizing resource allocation for model training, inference, and researchDeadline to applyApplications will be reviewed on a rolling basis.SalaryThe expected salary range for this position is $365,000 - $435,000 USD.LogisticsEducation requirements: We require at least a Bachelor’s degree in a related field or equivalent experience.Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. Some roles may require more time in our offices.Visa sponsorship: We sponsor visas. If we make you an offer, we will make reasonable efforts to obtain a visa and may retain an immigration lawyer to assist.Equal opportunity and inclusionWe encourage you to apply even if you do not meet every single qualification. We value diverse perspectives and aim to create an inclusive team. #J-18808-Ljbffr

Created: 2025-09-17