Staff Software Engineer: Compute

Anthropic; San Francisco (CA); Presencial; USD 320 000 - 485 000; Tempo integral

Resumo da oferta

Anthropic is seeking strong, versatile software engineers to build datacenter-focused tools that scale compute, sites, equipment, and construction data. You will work closely with sites, energy, and supply chain teams to translate complex, real-world workflows into reliable software systems.

We value engineers who learn from practitioners, move fast, and help shape a large-scale infrastructure buildout at the frontier of AI safety and deployment.

Qualificações

• 8+ years of software engineering experience with strong full-stack skills, data modeling, APIs, and databases.
• Experience building software teams or systems used by datacenters, construction, energy, or logistics.
• Proven track record of zero-to-one work in startup or startup-like environments.
• Deep user-centric approach: learn domain from practitioners and validate with them first.
• Strong ability to communicate across engineering, operations, and research, with attention to societal impact.

Responsabilidades

• Build core datacenter lifecycle systems (sites, designs, BOMs, equipment, progress).
• Embed with datacenter, energy, and supply chain teams to identify the critical path and empower frontline workers.
• Migrate and reconcile spreadsheets and legacy trackers; integrate with industry tools (construction mgmt, scheduling, engineering systems).
• Design for trust: fine-grained permissions, auditability, and data quality for major investment decisions.
• Ship early, iterate with users; cut work that doesn’t move compute online sooner.
• Partner with research to understand model capabilities and limitations in physical-world domains.

Conhecimentos

Full-stack software engineering

Data modeling

APIs

Databases

Cross-functional collaboration

Ferramentas

Procore

Autodesk Construction Cloud

Primavera P6

PLM/BOM

ERP

CAD/BIM

DCIM

Descrição da oferta de emprego

About Anthropic

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.

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

You may be a good fit if you

• 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

Strong candidates may also have

• 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

Candidates need not have

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

Annual Salary

$320,000—$485,000 USD

Logistics

Minimum education: Bachelor’s 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 aren't 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.

How We're Different

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. 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.

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.

Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In 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 you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings.

Guidance on Candidates' AI Usage

Learn about our policy for using AI in our application process.