Greenhouse ·
full-timeSoftware Engineer, Staff: Applied AI, Science & Engineering
Anthropic · New York City, NY; San Francisco, CA; Seattle, WA
Anthropic is an AI safety and research company focused on building reliable, interpretable, and steerable artificial intelligence systems, most notably the Claude family of large language models. The Staff Software Engineer role on the Applied AI, Science & Engineering team centers on turning Claude into a practical research and engineering partner for scientists and engineers in fields such as energy, materials, and hardware design. Day‑to‑day work involves building agent harnesses and research loops that let Claude move from literature review through hypothesis generation, simulation, analysis, and design iteration; connecting scientific computing and simulation tools (e.g., finite element, CFD, electromagnetic, molecular modeling codes) so Claude can drive them reliably at scale; designing evaluations to assess the correctness of Claude’s outputs; collaborating directly with partner domain experts to translate open‑ended problems into well‑specified, verifiable tasks; prototyping solutions, shipping pilots into partner workflows, and distilling successful patterns into reusable tools and documented processes; and communicating results, limits, and tradeoffs to both technical and non‑technical stakeholders. The role suits candidates with eight or more years of software engineering experience, strong fundamentals across the stack, hands‑on background with large language models—including agents, tool use, and evaluations—and preferably a science or engineering background. Success hinges on the ability to earn the trust of expert researchers, transform fuzzy problems into concrete, checkable work, and ship reliable systems.
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. Claude is getting good at research. Given a well-posed problem, it can read the literature, write and run simulations, analyze results, and iterate on a design across physics, materials, chemistry, and engineering. But most of the hardest problems in science and engineering aren't well-posed. They live inside companies and labs with their own data, tools, constraints, and experts, and progress depends on turning all of that into work a model can actually do and check. Our Applied AI, Science & Engineering team takes Claude to the scientists and engineers working on hard problems in energy, materials, hardware design, and other physical-world fields. We build the tools Claude needs to do real research and engineering work. Mostly that means software: the agent harnesses, integrations, evaluations, and working processes that turn a partner's problem into something Claude can make progress on and validate. We find real-world problems and test what we build through partner engagements, then feed our learnings back to our research and product teams. It's early, and the engineers who join now will shape how Claude gets applied to science and engineering. This is an engineering role first. You'll spend real time with domain experts, become the person who knows how to get Claude working in their field, and prototype quickly alongside them. Most of your time, though, goes into building and hardening the systems that make that work repeatable, not into writing recommendations or configuring someone else's product. A science or engineering background is a big plus, but what matters most is that you can earn the trust of expert researchers, turn a fuzzy problem into something concrete and checkable, and ship. Responsibilities Build the agent harnesses and research loops that let Claude carry a problem from literature review through hypothesis generation, simulation, analysis, and design iteration Connect scientific computing and simulation tools (finite element, CFD, electromagnetic, or molecular modeling codes, for example) so Claude can drive them reliably and at scale Design and build evaluations that tell us whether Claude's work is actually right, and be honest about where it isn't Sit with scientists and engineers at partner organizations to learn their problem, data, tools, and constraints, and turn open-ended questions into well-specified, verifiable tasks with clear success criteria Prototype with partners, ship pilots into their workflows, and cut anything that doesn't move the problem forward Turn what works in one engagement into shared tools, reusable components, and documented processes the next one can start from Be the technical voice on how Claude performs on science and engineering work, explaining results, limits, and tradeoffs clearly to researchers, engineering leads, and non-technical stakeholders alike Partner with our research and product teams to share where models fall short on science and engineering work, and help shape what comes next You may be a good fit if you Have 8+ years of experience building software, with strong engineering fundamentals and comfort across the stack, from data pipelines to tooling to quick interfaces Have built real systems with large language models, including agents, tool use, or evaluations Have worked on technical problems in a science or engineering field, such as physics, materials, chemistry, or electrical or mechanical engineering Have a track record of zero-to-one work in startup or startup-like environments\ Can work directly with expert users, understand their workflows deeply, and still keep the focus on building the right system rather than the one first requested Have good judgment about what can and can't be verified, and are comfortable saying a result isn't good enough yet Bring high agency, pick up new domains quickly, and hold strong opinions loosely Communicate clearly with researchers, engineers, and external partners, and care about the societal impacts of your work Strong candidates may also have An advanced degree or research experience in a physical science or engineering field Hands-on experience with scientific computing and simulation, numerical methods, or optimization Experience in industrial R&D, a national lab, or a deep-tech company in areas like energy, materials, manufacturing, or hardware Experience b
| Role | Software Engineer, Staff: Applied AI, Science & Engineering |
|---|---|
| Company | Anthropic |
| Location | New York City, NY; San Francisco, CA; Seattle, WA |
| Type | full-time |
| Compensation | Not disclosed |
| Posted | 2026-10-06 |
| Deadline | Rolling |
Typical process for this type of role
A general guide — the exact steps for this specific listing may vary; check the original posting for details.
- 1ApplicationSubmit your resume through the apply link.
- 2ScreeningRecruiter reviews your background against the role.
- 3AssessmentA technical test, assignment, or coding round, depending on the role.
- 4Interview(s)One or more rounds with the hiring team.
- 5OfferOffer letter with compensation and start date.
Before you apply
0/4Software Engineer, Staff: Applied AI, Science & Engineering at Anthropic: frequently asked questions
- What is the salary for this role?
- Anthropic has not stated compensation in the listing. Check the original posting or ask during the application process.
- Is the Software Engineer, Staff: Applied AI, Science & Engineering position remote, hybrid or onsite?
- The listing gives New York City, NY; San Francisco, CA; Seattle, WA as the location and does not state a work mode.
- What is the application deadline?
- Anthropic has not listed a fixed deadline, so apply early in case the opening is filled.
- How do I apply for the Software Engineer, Staff: Applied AI, Science & Engineering role?
- Use the Apply button on this page. It opens the original listing on job-boards.greenhouse.io, where you submit your application with the company.
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