Staff Software Engineer, Build Systems

About Anthropic

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.

About the Role

Anthropic is seeking talented and experienced Software Engineers to join our Builds team within the Developer Platform organization. The Builds team owns the build infrastructure that every engineer and researcher at Anthropic depends onfrom hermetic build environments and container image pipelines to remote build execution build caching and dependency management across our monorepo. By joining this team youll have a direct impact on the velocity and reliability of Anthropics research and product development.

As Anthropic scales its engineering organization research ambitions and the volume of code contributed by both humans and AI agents build infrastructure is becoming a critical bottleneck and a critical lever. Were building next-generation systemsscalable remote build execution with content-addressable storage fine-grained incremental builds and hermetic reproducible environmentsto ensure that build times shrink even as the codebase grows by orders of magnitude.

Our monorepo spans Python Rust and Go with builds targeting multiple accelerator platforms (TPUs Trainium GPUs) and complex SDK dependencies. This creates uniquely challenging problems in hermeticity caching cross-language interop and dependency management that few organizations encounter. If youve built or operated large-scale hermetic build infrastructure at a company with a large monorepo and are excited about designing systems that keep thousands of engineers productive this is the role for you.

Responsibilities

• Design and build scalable hermetic build infrastructure including remote build execution (RBE) and content-addressable storage (CAS) systems that support all source and image builds
• Own and evolve Nix-based build environments and package management keeping nixpkgs and language runtimes current and compatible
• Drive fine-grained dependency management across the monorepo to enable incremental builds and eliminate unnecessary rebuilds
• Build and maintain language-specific build toolchains and accelerator SDK/runtime builds
• Reduce container image build times through architectural improvements to build pipelines layer caching and content-addressable storage
• Partner with CI Languages and Developer Acceleration teams to ensure build infrastructure integrates seamlessly with the broader developer platform

You May Be a Good Fit If You:

• Have 10 years of relevant industry experience building and operating large-scale build systems and infrastructure
• Have deep experience with hermetic reproducible build systems (Bazel Buck Nix or similar) in a large monorepo environment
• Understand build caching strategies remote execution and content-addressable storage deeply
• Have experience with containerized build environments and image build pipelines
• Have strong proficiency in at least one of Python Rust or Go
• 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

Strong Candidates May Also Have:

• Experience with Nix/NixOS and managing large Nix package sets at scale
• Experience with Rust build toolchains (cargo maturin) and Python-Rust interop
• Experience building or operating remote build execution systems (Bazel Remote Execution API BuildBarn BuildBuddy or similar)
• Experience managing accelerator SDK builds (CUDA Neuron SDK JAX/XLA)
• Experience with fine-grained dependency graph analysis and incremental build optimization at monorepo scale

Deadline to apply: None. Applications will be reviewed on a rolling basis.

Logistics

Education requirements: We require at least a Bachelors degree in a related field or equivalent experience.

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.

How were 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. 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.

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 aboutour policyfor using AI in our application process