Capacity Engineer, Compute

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

The Compute team provides input into company-wide cloud infrastructure strategy and efficiency deliverables, advises on budget decisions, and provides capacity planning and performance expertise to stakeholders in finance and engineering leadership. As an early member of this team, you would work with engineering teams to ensure optimal operation and growth of our infrastructure from both a cost and technology perspective 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 necessary automation to help capacity plan for near and long term outcomes
• Institute and design governance workflows to help manage additional capacity request approvals
• Investigate new capacity requests to ensure the best use of resources and that instances are sized appropriately
• Build and drive cost to serve analytics programs to guide engineering, finance, and leadership on the total cost (TCO) and infrastructure impact of our scaling factors. Inform pricing conversations through customer profile sensitive gross margin analysis.
• Tech lead with outside vendors to manage anthropic capacity needs
• Proactively identify infrastructure inefficiency opportunities, document proposal and be a key contributor in driving a positive outcome
• Serve as an advisor to engineering and finance functions and executive team for one of the largest areas of expenditure
• Work closely with TPMs on special efficiency projects and help deliver committed outcomes

You may be a good fit

Deadline to apply : None. Applications will be reviewed on a rolling basis.

The expected salary range for this position is $320,000 - $405,000 USD .

Logistics

Education 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 where feasible; however, sponsorship is not guaranteed for every role or candidate. If an offer is made, we will make reasonable efforts to obtain a visa, with the assistance of an immigration attorney.

We encourage you to apply

We encourage you to apply even if you do not meet every single qualification. Not all strong candidates will meet every qualification as listed. We think AI has enormous social and ethical implications, and we strive to include diverse perspectives on our team.

How we\'re different

We believe that the highest-impact AI research is big science. At Anthropic we work as a single cohesive team on a few large-scale research efforts and value impact toward steerable, trustworthy AI. We view AI research as an empirical science and emphasize collaboration and communication skills. We host frequent research discussions to pursue high-impact work and read about our recent directions in fields like GPT-3, circuit-based interpretability, multimodal neurons, scaling laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.

Come work with us

Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a collaborative office space.

Apply for this job

To apply, please submit your resume and a cover letter. We will contact applicants on a rolling basis.

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