Staff Software Engineer: Compute

Anthropic · San Francisco, CA | New York City, NY | Seattle, WA · Engineering & Design - Product · listed September 9, 2026

The shape of it

Seniority
Staff
Experience asked
8+ years
Where
Hybrid
Stated pay
$405,000 – $485,000 USD
Requirements listed
9
Length
1,252 words

In the posting’s own words

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.

What it asks for · 9

  • 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
  • 100% of the skills listed above
  • Formal certifications or education credentials
  • Direct machine learning or AI research experience

Also a plus

  • 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

What the job covers

  • 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

Tools and skills named

Models & research
  • Machine learning2×
  • LLM
Operations & finance
  • Supply chain3×
Data
  • Data modeling

Words the posting leans on

  • construction8×
  • building7×
  • experience7×
  • datacenter6×
  • systems6×
  • research5×
  • software5×
  • design4×
  • domain4×
  • engineering4×
  • tools4×
  • bring3×
  • build3×
  • data3×
  • energy3×
  • equipment3×

Counted from the posting after the mission statement and the legal notices are set aside. The ones near the top are the ones a screener is looking for.

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How this page was made

An automated read of a public job posting, fetched September 10, 2026 and last changed by Anthropic on September 9, 2026. Every list above is pulled from the posting’s own sentences — nothing rewritten, nothing added, no judgment about the role or the company. Counts and seniority are read off the text by rule, so they can be wrong where the posting is unusual. The original is the only thing that binds. Openings close without warning; check the source before spending an evening on it.