Software Engineer, Systems Claude Code

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.

At Anthropic we believe new AI capabilities are best achieved through secure foundations not in spite of them. As capabilities grow more advanced it is critical that progress moves forward safely and for the benefit of all society. It is the reason why security sits at the center of our work and not as an afterthought.

Were looking for a systems-oriented Software Engineer to push the performance and reliability of Claude Code and the JavaScript runtime that powers it. Claude Code is our terminal-first agentic coding tool and a huge part of what makes it fastand what lets us ship quicklyis Bun. This role sits at that intersection: youll work deep in the runtime the kernel interfaces it sits on top of and the agent loop on top of it making everything faster leaner and more reliable. Your work will also flow through to the Claude Code Agent SDK Cowork and other Labs projects that build on the same foundations.

This is low-level work. Were looking for someone who has spent years writing production C C and Rust who thinks in syscalls and allocators and who gets excited about shaving microseconds and megabytes off hot paths.

• Design build and optimize core systems inside Bun and Claude Coderuntime internals I/O paths memory management and the agent execution loop

• Drive down memory usage latency and startup time across Claude Code and the Bun runtime

• Dig into performance problems across the stack: profiling tracing and fixing issues anywhere from the kernel interface up through the JS engine to the agent layer

• Collaborate with researchers and product engineers to make sure model capabilities translate into a fast reliable developer experience

• Contribute to the Bun runtime and toolkit which underpins Claude Code the Agent SDK Cowork and other internal Labs products

• Stay ahead of advancements in runtimes compilers and AI-assisted toolingexperimenting measuring and bringing the best ideas into our stack

• Have a strong background in C and/or C and Rust (Zig also welcome)

• Have deep systems programming experience: syscalls Linux internals I/O (kqueue epoll iouring) manual memory management and performance engineering

• Have worked on language runtimes virtual machines compilers or JS engines like JavaScriptCore or SpiderMonkey

• Have 5 years of work experience

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.