Staff+ Software Engineer, Developer Productivity

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.

Anthropics 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: 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.

• Own the technical strategy and roadmap for your area translating team-level goals into concrete execution plans
• Define infrastructure architecture ensuring the hardest problems get solved whether by you directly or by working through others
• Design and build scalable reliable distributed infrastructure and shared libraries that support high-volume workloads across all engineering teams
• Own and evolve build environments package management and dependency systems to enable fast reproducible builds
• Define and implement language ecosystem standards tooling and frameworks that drive developer productivity across research and production workloads

• Have deep experience with build systems CI/CD pipelines and/or developer tooling in a large monorepo environment
• Have strong proficiency in Python Rust and/or Go
• Are obsessed with developer productivity and reducing friction in the software development lifecycle
• Have experience with container orchestration and infrastructure at scale
• Have excellent communication skills and enjoy supporting internal partners to improve their development experience
• Are excited about designing foundational systems and are comfortable working independently on ambiguous high-impact technical challenges

• 15 years (not including internships or co-ops) of experience in a Software Engineer role building and operating large-scale developer infrastructure
• 3 years (not including internships or co-ops) of experience leading large scale complex projects or teams as a tech lead
• Experience with CI orchestration tools (Buildkite Jenkins GitHub Actions or similar) and merge queue management at scale
• Experience 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 scale
• Experience building CLI tools developer-facing services and GitHub API and automation workflows

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.