> Markdown version of [/jobs/ext/4211582-software-engineer](https://www.wearedevelopers.com/jobs/ext/4211582-software-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Software Engineer - **Company:** Anthropic's Mission - **Location:** New York, United States - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Computational Fluid Dynamics, Machine Learning, Molecular Modeling, Scientific Computating, Software Construction, Large Language Models, Build Management, Claude, Data Pipelines - **Published:** October 5, 2026 - **Apply:** https://startup.jobs/software-engineer-staff-applied-ai-science-engineering-anthropic-3-10305062 ## About the Role * 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, * 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 building alongside customers or technical partners, for example in forward-deployed, applied AI, or solutions engineering roles, ideally where you also owned the software that came out of it * Experience with ML research, RL environments, or evaluation design, * Formal certifications or education credentials * Expertise in every scientific domain we work in * Direct machine learning or AI research experience, 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. ## Description * 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