Staff+ Software Engineer, Product Sandboxing

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.

We build and run the secure execution environment behind Claudes agentic capabilities. When Claude writes and runs code browses the web or uses a computer that happens on infrastructure our team owns. We work at the intersection of systems engineering and security. The goal is to make untrusted code execution safe fast and reliable enough that product teams dont have to think about it. This is the layer between the model and the outside world and it has to hold up at scale for every Anthropic product. Were hiring engineers who have experience building for containerized workloads and have a keen eye for building products used by millions of customers.

Youll independently scope complex multi-month projects drive cross-org alignment through ambiguous problem spaces and make architectural decisions that shape how Anthropic builds and scales its products. Youll partner directly with research to productize cutting-edge capabilities and will have lasting impact on the platform that hundreds of thousands of companies and internal/external engineers depend on every day.

• Have a minimum of 8 years of practical experience as a backend or platform engineer building scalable distributed systems ideally operating at tech lead level or equivalent distributed systems cloud-native products developer tools or external developer facing products
• Have strong fundamentals in service-oriented architectures networking and systems design ideally having owned both the technical vision and execution of a foundational platform system end to end
• Are proficient in Python Go Rust or similar systems languages
• Have experience with cloud infrastructure (GCP AWS or Azure) container orchestration (Kubernetes) and/or multi-cloud networking
• Take full ownership of your workfrom design through deployment and operations
• Can navigate ambiguity and make sound technical decisions independently and have ideally operated in 0 to 1 and more mature team or company settings
• Take a product-focused approach to platform work and care about building solutions that are robust scalable and easy to us

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

Location Preference: Preference will be given to candidates based in NY SEA SF or the Bay Area given the current location of team.

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.