Anthropic is building AI systems that are safe, beneficial, and transformative, with a mission to create reliable, interpretable, and steerable AI. The role focuses on developing software and Claude‑powered tools to help Anthropic scale out its compute. Engineers will embed with datacenter, energy, and supply chain teams to build core systems that track datacenter lifecycle, migrate spreadsheets, design trust‑worthy data models, ship early, and collaborate with research to integrate new model capabilities into engineering‑heavy, physical‑world domains.
Staff Software Engineer: Compute na Anthropic
Híbrido - San Francisco, CA; New York City, NY; Seattle, WA, USA
Ver mais vagas na AnthropicSalary
USD 405,000 - 485,000
Requirements
Skills
- 8+ years of experience building software with strong full‑stack skills and solid grounding in data modeling, APIs, and databases
- Experience building software that teams in physical‑world industries (datacenters, construction, energy, manufacturing, supply chain, or logistics) depend on
- Track record of zero‑to‑one work in startup or startup‑like environments
- Deeply user‑centric: learn the domain from people doing the work and validate with them before over‑investing
- High agency and good judgment about what matters, holding strong opinions loosely
- Clear communication across engineering, operations, and research, with a care about the societal impacts of your work
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/BIMDCIMPower system studiesLarge language models
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