Principal Capacity Engineer, Compute

Details

Anthropic’s Compute team is looking for a Principal Capacity Engineer to lead capacity planning, forecasting, and optimization of our global infrastructure fleet. You will work closely with research, engineering, and finance teams to ensure 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.

Responsibilities

• Design, develop, and deliver capacity management systems for AI workloads on heterogeneous infrastructure
• Build and maintain robust attribution of usage and enable in-depth data-driven insights
• Oversee design and implementation of planning tools and systems-level guardrails for capacity planning and quota management
• Build a deep understanding of research and training workloads to accurately model cost-to-serve and cost-to-train
• Proactively identify efficiency opportunities and collaborate with teams across the organization to increase total effective compute
• Partner closely with Finance and leadership, providing detailed and clear capacity inputs for financial planning and strategic decision making

Requirements

• Experience working on capacity at a major cloud provider or hyperscaler, or equivalent experience managing capacity for large infrastructure fleets
• Experience driving cross-functional projects and interfacing with technical and non-technical stakeholders
• Experience with or strong interest in LLMs and model training and serving efficiency
• Comfortable leveraging data; experience building observability for complex systems
• Strong interpersonal skills; ability to influence without authority and build cross-organizational support
• Education: at least a Bachelor's degree in a related field or equivalent experience

Strong candidates may also have

• Past experience as a lead capacity engineer
• Experience partnering with senior leadership
• Past experience working directly on model training or model inference

Representative projects

• Building a system for capacity planning and optimizing resource allocation for model training, inference, and research

Logistics & Benefits

• Location-based hybrid policy: staff are expected to be in one of our offices at least 25% of the time
• Visa sponsorship: Anthropic may sponsor visas and retains an immigration lawyer to assist when an offer is made
• Anthropic offers competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and office space in which to collaborate

Salary

• Annual salary range: $435,000 - $565,000 USD

Additional notes

• Applications are reviewed on a rolling basis. Anthropic encourages candidates from diverse backgrounds to apply.