> Markdown version of [/jobs/ext/3961639-staff-software-engineer-compute](https://www.wearedevelopers.com/jobs/ext/3961639-staff-software-engineer-compute). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Staff Software Engineer: Compute - **Company:** Anthropic Limited - **Location:** San Francisco, CA, United States - **Experience:** Expert - **Salary:** $320,000.0 - **Contract:** Permanent contract - **Skills:** Computer-Aided Design, Application Programming Interfaces (APIs), Artificial Intelligence, Software Applications, Systems Engineering, Spreadsheets, Cloud Computing, Databases, Data Centers, Data Center Infrastructure Management (CIM), Project Management Software, Primavera, Software Construction, Software Engineering, Computer Network Operations, Large Language Models, Autodesk Autocad - **Published:** October 27, 2026 - **Apply:** https://www.careerbuilder.com/job-details/staff-software-engineer-compute-san-francisco-ca--bc09d440-ea38-4b64-a39b-a681d5e45ca5 ## About the Role Software Engineering, Computer Software, Artificial Intelligence (AI), Construction, Spreadsheets, Network Operations Center, Software Engineering, Construction Management, Building Design, Purchasing/Procurement, 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., * 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 * Have a track record of zero-to-one work in startup or startup-like environments * Are deeply user-centric: you learn the domain from the people doing the work and validate with them before over-investing * Bring high agency and good judgment about what matters, and hold strong opinions loosely * Communicate clearly across engineering, operations, and research, and care about the societal impacts of your work Strong candidates may also have * 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, Minimum education: Bachelor's degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. ## Description * 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