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
Communication @ 6
Data Modeling @ 7
LLM
Machine Learning @ 4
Software Development @ 7
- 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 its compute infrastructure. The role focuses on developing systems for datacenter lifecycle management and supporting teams involved in site sourcing, building design, equipment procurement, energy, supply chain, and construction.
Responsibilities
- Build core systems that track a datacenter's lifecycle, including sites, designs, bills of materials, equipment, and construction progress, in a trusted and permissioned source of truth.
- Embed with datacenter, energy, and supply chain teams to understand workflows, identify critical paths, and build the tools they use daily.
- 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 guides major investment decisions.
- Ship early, iterate with users, and remove work that does not help bring compute online sooner.
- Partner with research to understand new model capabilities and identify limitations in engineering-heavy, physical-world domains.
Requirements
- 8+ years of software development experience.
- Strong full-stack skills and a solid foundation in data modeling, APIs, and databases.
- Experience building software relied upon by teams in a physical-world industry 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 user-centric approach to learning domains from the people doing the work and validating solutions with them.
- High agency, good judgment, and the ability to hold strong opinions loosely.
- Clear communication across engineering, operations, and research.
- Care for the societal impacts of your work.
- A bachelor's degree or equivalent combination of education, training, and experience. The required field of study must be relevant to the role through coursework, training, or professional experience.
Preferred Qualifications
- Experience in datacenters, construction, logistics, legal, or adjacent fields.
- 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.
- 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.
- Formal certifications or education credentials beyond the stated requirements are not required.
Benefits
Anthropic offers competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and an office space for collaboration. Anthropic expects staff to work from one of its offices at least 25% of the time, although some roles may require more office time. Anthropic sponsors visas when possible and makes reasonable efforts to support visa applications, with assistance from an immigration lawyer.