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About the Role

At Anthropic, we're building AI systems that are safe, beneficial, and transformative. Our mission is to develop AI that benefits humanity, and we believe the most powerful capabilities emerge when we thoughtfully bridge the gap between research breakthroughs and real-world applications. Frontier AI runs on datacenters, and the world is in the middle of the largest infrastructure buildout in a generation. The binding constraint on progress is increasingly everything around the chips: land, power, permits, equipment, and the design and construction of the buildings themselves. Bringing a single site online involves hundreds of people, thousands of components, and decisions that move enormous amounts of capital. Much of that work still runs on spreadsheets and handoffs. At Anthropic, we're building software and Claude-powered tools to help Anthropic scale out its compute, and we think there's an enormous opportunity to rethink how that work gets done. It's early, it's already having a real impact, and the engineers who join now will shape how one of the most consequential buildouts in the world gets done. 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.

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

Requirements

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

Skills

Datacenter experience
Full-stack skills
Data modeling
APIs
Databases
Construction management
Scheduling
PLM/BOM
ERP and procurement
CAD/BIM
DCIM
Power system studies
Electrical engineering
Mechanical engineering
Civil engineering
Energy systems
Supply chain
Large language models

Location

San Francisco

Work Type

Hybrid

Experience Level

8+ years of experience building software
Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position

Education Level

Bachelor’s degree or an equivalent combination of education, training, and/or experience

Salary/Compensations

$320,000—$485,000 USD

Benefits

Competitive compensation
Benefits
Optional equity donation matching
Generous vacation
Parental leave
Flexible working hours
Lovely office space

About the Company

Anthropic’s mission is to create reliable, interpretable, and steerable AI systems.
We want AI to be safe and beneficial for our users and for society as a whole.
Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
We believe that the highest-impact AI research will be big science.
At Anthropic we work as a single cohesive team on just a few large-scale research efforts.
We value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles.
We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science.
We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time.
As such, we greatly value communication skills.
Anthropic is a public benefit corporation headquartered in San Francisco.

Equal Opportunity

We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed.
Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work.
We think AI systems like the ones we're building have enormous social and ethical implications.
We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.