Join Anthropic as a Staff+ Software Engineer to build secure execution environments for AI systems used by millions.
Posted by employer 1 month ago
First seen on Joblaze 1 month ago
Last verified on the company career page 5 hours ago
Requirements
Benefits
Joblaze summary
In this role, the Staff+ Software Engineer will focus on developing and maintaining the secure execution environment that underpins Anthropic's AI capabilities, ensuring safe and efficient code execution. Key skills include expertise in containerized workloads, proficiency in languages like Python or Go, and experience with cloud infrastructure and systems design. This position is ideal for seasoned engineers with a strong background in scalable distributed systems and a track record of leading technical projects. Anthropic emphasizes collaboration and innovation, making it a fitting environment for those passionate about impactful AI development.
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From the original posting
We build and run the secure execution environment behind Claude's 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 don't 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. We're hiring engineers who have experience building for containerized workloads and have a keen eye for building products used by millions of customers.
You'll 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. You'll 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.
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.
The annual compensation range for this role is listed below.
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