Tech Stack
Tag name is followed by "@" symbol and proficiency level value.
About proficiency levels:
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
AI @ 4
API @ 7
Data Modeling @ 7
LLM
Machine Learning @ 4
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
Details
Anthropic is building software and Claude-powered tools to help scale compute infrastructure and improve how datacenter sites, buildings, equipment, and construction are managed. This role will embed with datacenter, energy, and supply chain teams to understand their workflows and build trusted systems for bringing compute capacity online.
Responsibilities
- Build core systems that track a datacenter's lifecycle, including sites, designs, bills of materials, equipment, and construction progress, in one trusted and permissioned source of truth.
- Embed with datacenter, energy, and supply chain teams to understand how work is performed, identify critical paths, and build the tools they use regularly.
- Migrate and reconcile spreadsheets and legacy trackers, and integrate with construction management, scheduling, and engineering systems.
- Design fine-grained permissions, auditability, and data quality for information that supports major investment decisions.
- Ship early, iterate with users, and remove anything that does not help bring compute online sooner.
- Partner with research to understand new model capabilities and where they fall short in engineering-heavy, physical-world domains.
Requirements
- 8+ years of experience building software.
- Strong full-stack skills and solid grounding in data modeling, APIs, and databases.
- Experience building software that teams in a physical-world industry depend on, such as datacenters, construction, energy, manufacturing, supply chain, or logistics.
- A track record of zero-to-one work in startup or startup-like environments.
- A deeply user-centric approach, including learning domains from the people doing the work and validating solutions before significant investment.
- High agency, good judgment, and the ability to communicate clearly across engineering, operations, and research.
- A bachelor's degree or equivalent combination of education, training, and experience. Relevant fields of study may be demonstrated through coursework, training, or professional experience.
Preferred Qualifications
- Experience in datacenters at a hyperscaler, colocation provider, operator, utility, or engineering firm, or in adjacent fields such as construction, logistics, or legal.
- Experience with construction management tools such as Procore or Autodesk Construction Cloud; scheduling tools such as 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.
- Direct machine learning or AI research experience is not required, nor are formal certifications or education credentials beyond the stated minimum.
Compensation
Annual salary: $405,000–$485,000 USD.
Logistics
The role follows a location-based hybrid policy, with staff expected to work from one of Anthropic's offices at least 25% of the time. Anthropic sponsors visas for this role when possible and makes reasonable efforts to support visa applications with immigration counsel. Applications are reviewed on a rolling basis with no stated deadline.
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