Staff Software Engineer (Compute)

• At Anthropic, we’re building AI systems that are safe, beneficial, and transformative
• Our mission is to develop AI that benefits humanity, and we believe the most powerful capabilities emerge when we thoughtfully bridge the gap between research breakthroughs and real-world applications
• Frontier AI runs on datacenters, and the world is in the middle of the largest infrastructure buildout in a generation
• The binding constraint on progress is increasingly everything around the chips: land, power, permits, equipment, and the design and construction of the buildings themselves
• Bringing a single site online involves hundreds of people, thousands of components, and decisions that move enormous amounts of capital
• Much of that work still runs on spreadsheets and handoffs
• At Anthropic, we’re building software and Claude-powered tools to help Anthropic scale out its compute, and we think there’s an enormous opportunity to rethink how that work gets done
• It’s early, it’s already having a real impact, and the engineers who join now will shape how one of the most consequential buildouts in the world gets done
• We’re looking for strong, versatile software engineers who love building for people doing real work in the physical world
• You’ll embed with the teams that source sites, design buildings, procure equipment, and manage construction, learn their work deeply, and build the tools and systems they rely on every day
• Datacenter experience is a big plus, but what matters most is that you can earn the trust of expert operators, model a messy domain cleanly, and move fast
• Build the core systems that track a datacenter’s lifecycle (sites, designs, bills of materials, equipment, and construction progress) in one trusted, permissioned source of truth
• Embed with datacenter, energy, and supply chain teams to understand how the work actually gets done, find the critical path, and build the tools they reach for first
• Bring order to messy data by migrating and reconciling spreadsheets and legacy trackers, and integrate with the industry’s tools, like construction management, scheduling, and engineering systems
• Design for trust: fine-grained permissions, auditability, and data quality for information that steers major investment decisions
• Ship early, iterate with users, and cut anything that doesn’t help bring compute online sooner
• Partner with research to understand new model capabilities and share where they fall short in engineering-heavy, physical-world domains

Benefits

• Comprehensive health, dental, and vision insurance for you and your dependents
• Inclusive fertility benefits via Carrot Fertility
• 22 weeks of paid parental leave
• Flexible paid time off and absence policies
• Mental health support for you and your dependents
• Competitive salary and equity packages
• Optional equity donation matching at a 1:1 ratio, up to 25% of your equity grant
• Retirement plans with competitive matching
• Life and income protection plans
• $500/month flexible wellness and time saver stipend
• Commuter benefits
• Annual education stipend
• Home office stipends
• Relocation support for those moving for Anthropic
• Daily meals and snacks in the office

• Communicate clearly across engineering, operations, and research, and care about the societal impacts of your work
• Are deeply user-centric: you learn the domain from the people doing the work and validate with them before over-investing
• Have a track record of zero-to-one work in startup or startup-like environments
• Bring high agency and good judgment about what matters, and hold strong opinions loosely
• Have 8+ years of experience building software, with strong full-stack skills and solid grounding in data modeling, APIs, and databases
• Have built software that teams in a physical-world industry depend on, such as datacenters, construction, energy, manufacturing, supply chain, or logistics
• 100% of the skills listed above
• Direct machine learning or AI research experience
• Formal certifications or education credentials
• Candidates need not have:
• Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience
• Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position
• Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience
• We encourage you to apply even if you do not believe you meet every single qualification
• Experience in datacenters (at a hyperscaler, colocation provider, operator, utility, or engineering firm), or in adjacent fields like construction, logistics, or legal
• Experience with the domain’s tooling, such as construction management (Procore, Autodesk Construction Cloud), scheduling (Primavera P6), PLM/BOM, ERP and procurement, CAD/BIM, DCIM, or power system studies
• A background in electrical, mechanical, or civil engineering, energy systems, or supply chain alongside a software career
• Experience building products with large language models

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