Anthropic’s 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.
Anthropic's sandboxing infrastructure enables Claude to safely execute code and interact with external systems. As we expand Claude's capabilities, the reliability, security, and developer experience of this infrastructure becomes increasingly critical. We're looking for an engineer to join the sandboxing team and help shape both the client-side library/API and the underlying infrastructure.
In this role, you'll combine deep infrastructure expertise with an obsession for developer experience. You'll help maintain and evolve a system that must be correct, performant, and intuitive to use. You'll work closely with internal teams to understand their needs, burn down errors and edge cases, and build a roadmap that anticipates where the product needs to go. This is a role for someone who finds satisfaction in both the craft of building reliable systems and the empathy required to serve developers and researchers well.
ResponsibilitiesContribute to the client library, API surface, and underlying infrastructure for Anthropic's sandboxing system, ensuring it is reliable, well-documented, and intuitive to use
Drive down error rates and improve correctness through systematic debugging, monitoring, and proactive fixes
Help develop and maintain a product roadmap for sandboxing capabilities, balancing immediate needs with long-term architectural improvements
Partner closely with internal teams using the sandboxing system to understand their requirements, debug issues, and build tooling that serves their use cases
Respond to incidents and production issues with urgency, conducting thorough root cause analysis and implementing preventive measures
Build comprehensive testing, observability, and documentation to ensure the system meets a high quality bar
Collaborate across the sandboxing team, flexing between client-side and infrastructure work as needed
Have 5+ years of software engineering experience, with meaningful time spent maintaining libraries, SDKs, or developer-facing APIs
Obsess over developer experience—you've thought deeply about API design, error propagation, documentation, and the small details that make a library feel well-crafted
Have experience operating complex distributed systems
Bring a track record of systematically improving reliability—you've burned down error budgets, built monitoring, and driven issues to resolution
Can develop and articulate a long-term vision for a product, translating user feedback and technical constraints into a coherent roadmap
Are comfortable with ambiguity and can context-switch between reactive incident work and proactive product development
Communicate clearly with both technical and non-technical stakeholders
Experience as a founder or early engineer at an infrastructure-focused startup, where you owned a product end-to-end
Background in security, sandboxing, or isolation technologies (containers, VMs, seccomp, namespaces, etc.)
Open-source contributions in the Python ecosystem
Experience building developer tools, CLIs, or platforms used by other engineers
History of working on incident response and on-call rotations for production systems
Exposure to reinforcement learning or model training infrastructure
These are examples of past work that would indicate a good fit—not a description of the role itself:
Maintaining an open source SDK through multiple major version upgrades while minimizing breaking changes for users
Leading an initiative to reduce P0 incidents by XX% through improved error handling, retries, and observability
Building a developer platform at a startup from zero to product-market fit, iterating based on user feedback
Embedding with an internal team for a quarter to deeply understand their workflows and shipping targeted improvements to a piece of infrastructure they rely on
Developing a multi-quarter roadmap for a developer tools product, balancing user requests with technical debt reduction
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Education requirements: We require at least a Bachelor's 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 aren't 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 you're interested in this work. We think AI systems like the ones we're 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 from @anthropic.com email addresses. In 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 you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly 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. We're 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 about our policy for using AI in our application process
Top Skills
Anthropic San Francisco, California, USA Office
548 Market St, San Francisco, California, United States, 94104
Similar Jobs
What you need to know about the San Francisco Tech Scene
Key Facts About San Francisco Tech
- Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Google, Apple, Salesforce, Meta
- Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
- Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
- Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine
