Staff + Software Security Engineer, Labs

About Anthropic

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.

About the role

We're hiring a Staff + Software Security Engineer for our Security Labs team. This team works on high-risk, high-expected-value security projects that require breakthroughs and innovative thinking. You'll work on projects that seem impractical until someone optimistic and stubborn enough actually tries it.

The current project areas include:

• Standing up a prototype high-assurance research cluster
• Provable inference: cryptographic verification
• Build hypervisor-isolated microVM workload isolation
• Compiling an ML kernel through a formally verified pipeline
• Regenerating clusters: automation that spins up a purpose-built cell
• Using Claude itself to drive security work end to end

Key Responsibilities

• Own Security Labs projects end to end
• Stand up novel security infrastructure fast
• Find the receiving team early and bring them along while you build
• Work embedded with research and infrastructure teams
• Turn experimental results into short writeups
• Help pick the next round of bets and influence the industry

Minimum Qualifications

• Genuinely care about where AI is heading and want to work on the security problems
• Have real depth in at least one area most software engineers don't touch
• Have built and shipped things under your own direction
• Have a track record of choosing the problem yourself and seeing it through
• Are comfortable jumping between domains and layers of the stack
• Write clearly enough to turn weeks of work into a couple of pages
• Change your mind when the evidence says to
• Care about defense
• Are a strong programmer (Python plus at least one of Rust, Go, or C/C++)

Preferred Qualifications

• Experience inside airgapped or high-side environments
• A background in offensive security, red teaming, or vulnerability research
• Familiarity with ML infrastructure
• A history of working in environments built around rapid iteration

Logistics

• Annual Salary: $320,000-$485,000 USD
• Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience
• Required field of study: A field relevant to the role
• Minimum years of experience: Correlate with internal job level requirements
• Location-based hybrid policy: At least 25% of time in one of our offices
• Visa sponsorship: We do sponsor visas