Staff Software Engineer Compute

Anthropics 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.

At Anthropic were 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 were building software and Claude-powered tools to help Anthropic scale out its compute and we think theres an enormous opportunity to rethink how that work gets done. Its early its 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.

Were looking for strong versatile software engineers who love building for people doing real work in the physical world. Youll 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.

• Build the core systems that track a datacenters 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 industrys 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 doesnt 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

• 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

• 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 domains 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

• 100% of the skills listed above

• Formal certifications or education credentials

• Direct machine learning or AI research experience

Deadline to apply: None. Applications will be reviewed on a rolling basis.

Minimum education: Bachelors degree or an equivalent combination of education training and/or experience

Required field of study:A field relevant to the role as demonstrated through coursework training or professional experience

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

Location-based hybrid policy: Currently we expect all staff to be in one of our offices at least 25% of the time. However some roles may require more time in our offices.

Visa sponsorship:We do sponsor visas! However we arent able to successfully sponsor visas for every role and every candidate. But if we make you an offer we will make every reasonable effort to get you a visa and we retain an immigration lawyer to help with this.

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 youre interested in this work. We think AI systems like the ones were 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.

Your safety matters to us. To protect yourself from potential scams remember that Anthropic recruiters only contact you some cases we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money fees or banking information before your first day. If youre ever unsure about a communication dont click any linksvisit for confirmed position openings.

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. And 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. Were 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.

The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic including: GPT-3 Circuit-Based Interpretability Multimodal Neurons Scaling Laws AI & Compute Concrete Problems in AI Safety and Learning from Human Preferences.

Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits optional equity donation matching generous vacation and parental leave flexible working hours and a lovely office space in which to collaborate with colleagues. Guidance on Candidates AI Usage:Learn aboutour policy for using AI in our application process.