Anthropic is recruiting a Staff Software Engineer focused on building software and Claude‑powered tools to help scale out compute across datacenters. The role involves designing and building core systems that track datacenter lifecycle, integrating spreadsheets with industry tools, and partnering with research teams to align new model capabilities. Candidates will embed with data center, energy and supply chain teams, bring order to messy data, ship early iterations, and help accelerate compute online.
Staff Software Engineer: Compute en Anthropic
Híbrido - San Francisco, CA; New York City, NY
Más vacantes en AnthropicSalary
USD 320,000 - 485,000
Requirements
Skills
- 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
- 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
Responsibilities
- 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
Technologies
ProcoreAutodesk Construction CloudPrimavera P6PLM/BOMERPCAD/BIMDCIMLarge Language Models
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