Software Engineer

Staff+ Software Engineer, Developer ProductivityAnthropic'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.Anthropic's Infrastructure organization is foundational to our mission of developing AI systems that are reliable, interpretable, and steerable. The systems we build determine how quickly we can train new models, how reliably we can run safety experiments, and how effectively we can scale Claude to millions of users — demonstrating that safe, reliable infrastructure and frontier capabilities can go hand in hand.Developer Productivity owns the end-to-end experience of how engineers and researchers at Anthropic develop, build, test, and ship code at scale — from the source control and language ecosystems that underpin our monorepo, to the build and CI infrastructure that keeps thousands of daily builds running reliably across multiple cloud providers, to the developer acceleration tooling that deeply integrates Claude into engineering workflows.Team matching is determined after the interview process based on interview performance, interests, and business priorities. Please note we may also consider you for different Infrastructure teams.Responsibilities:Own the technical strategy and roadmap for your area, translating team-level goals into concrete execution plansDefine infrastructure architecture, ensuring the hardest problems get solved — whether by you directly or by working through othersDesign and build scalable, reliable distributed infrastructure and shared libraries that support high-volume workloads across all engineering teamsOwn and evolve build environments, package management, and dependency systems to enable fast, reproducible buildsDefine and implement language ecosystem standards, tooling, and frameworks that drive developer productivity across research and production workloadsYou May Be A Good Fit If You:Have deep experience with build systems, CI/CD pipelines, and/or developer tooling in a large monorepo environmentHave strong proficiency in Python, Rust and/or GoAre obsessed with developer productivity and reducing friction in the software development lifecycleHave experience with container orchestration and infrastructure at scaleHave excellent communication skills and enjoy supporting internal partners to improve their development experienceAre excited about designing foundational systems and are comfortable working independently on ambiguous, high-impact technical challengesStrong Candidates May Have:15+ years (not including internships or co-ops) of experience in a Software Engineer role, building and operating large-scale developer infrastructure3+ years (not including internships or co-ops) of experience leading large scale complex projects or teams as a tech leadExperience with CI orchestration tools (Buildkite, Jenkins, GitHub Actions, or similar) and merge queue management at scaleExperience building or operating remote build execution systems (Bazel Remote Execution API, BuildBarn, BuildBuddy, or similar)Experience with Nix/NixOS/Docker and managing large image / package sets at scaleExperience building CLI tools, developer-facing services, and GitHub API and automation workflowsThe annual compensation range for this role is listed below. For sales roles, the range provided is the role's On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.Annual Salary: $405,000 - $625,000 USDLogisticsMinimum education: Bachelor's degree or an equivalent combination of education, training, and/or experienceRequired field of study: A field relevant to the role as demonstrated through coursework, training, or professional experienceMinimum years of experience: Years of experience required will correlate with the internal job level requirements for the positionLocation-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.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. 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.How We're DifferentWe 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.Come Work With Us!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 about our policy for using AI in our application process.