Capacity Engineer, Compute

Details

Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. The Compute team provides input into company-wide cloud infrastructure strategy and efficiency, advises on budget decisions, and delivers capacity planning and performance expertise across engineering and finance stakeholders. As an early member of this team you will work with engineering teams to ensure optimal operation and growth of infrastructure from both cost and technology perspectives, and collaborate cross-functionally with finance and data science partners to analyze and forecast growth.

Responsibilities

• Develop self-service tools and processes to enable Anthropic engineers to understand their capacity, efficiency, and costs.
• Design, develop, and lead automation to support near- and long-term capacity planning.
• Institute and design governance workflows for additional capacity request approvals.
• Investigate new capacity requests to ensure efficient use of resources and correct instance sizing.
• Build and drive cost-to-serve analytics programs to guide engineering, finance, and leadership on total cost (TCO) and infrastructure impact of scaling factors; inform pricing via customer-profile-sensitive gross margin analysis.
• Act as technical lead with outside vendors to manage Anthropic capacity needs.
• Proactively identify infrastructure inefficiencies, document proposals, and drive outcomes.
• Serve as an advisor to engineering, finance functions, and the executive team on a major area of expenditure.
• Work closely with TPMs on special efficiency projects and help deliver committed outcomes.

Requirements

• 5+ years experience in capacity engineering.
• 5+ years experience in a technical role.
• Intermediate knowledge of various public cloud providers.
• Experience with data modeling for public cloud.
• Experience with budgeting, capacity planning, and cloud efficiency optimization workflows.
• Experience in scripting and building automation tools.
• Familiarity with cloud compute, storage, networking, and related services.
• Strong communication skills and ability to advise cross-functional stakeholders (engineering, finance, data science, executive leadership).
• Attention to detail and a passion for correctness.
• Self-disciplined and able to thrive in fast-paced environments.

Logistics

• Education: At least a Bachelor's degree in a related field or equivalent experience is required.
• Location-based hybrid policy: Staff are expected to be in one of the offices at least 25% of the time (some roles may require more time in office).
• Visa sponsorship: Anthropic does sponsor visas in many cases and retains immigration counsel; sponsorship is not guaranteed for every role but will be pursued when an offer is made.
• Application deadline: None. Applications are reviewed on a rolling basis.

Benefits

• Competitive compensation and benefits.
• Optional equity donation matching.
• Generous vacation and parental leave.
• Flexible working hours and a collaborative office environment.

How we're different

Anthropic pursues large-scale, high-impact AI research and values collaboration and communication. The organization emphasizes empirical research directions (e.g., GPT-3, interpretability, scaling laws) and aims to build trustworthy, steerable AI systems. The role involves close collaboration across research, engineering, and business teams.