Autonomous Systems Security Engineer

Location: San Francisco, CA; remote applicants in the US considered. Regular travel to data center sites is required, and staff are expected to be in an office at least 25% of the time.

Annual salary: $320,000–$405,000 USD.

Company

Anthropic builds reliable, interpretable, and steerable AI systems intended to be safe and beneficial.

What you will do

• Own drones, ground robots, automated vehicles, and other autonomous platforms used for perimeter patrol, incident response, and infrastructure inspection.
• Build integrations that bring detections, tracks, telemetry, and fleet health into the security monitoring platform, including automation and AI agents for triage and evidence assembly.
• Engineer sensing and detection for uncrewed systems, including sensor selection, site coverage, classification, false-alarm handling, and evidence-based handoffs.
• Secure site automation through identity and access controls, network isolation, recording and data-flow controls, fail-secure behavior, chain-of-custody controls, and acceptance testing.
• Define regulatory, privacy, aviation, spectrum, and safety constraints for Anthropic and partner-operated sites, coordinating approvals and local authorities.
• Define health monitoring, lost-link and loss-of-coverage alarms, vendor requirements, live evaluations, and acceptance criteria.

Requirements

• Hands-on experience engineering autonomous or sensing systems in the field, including drones, ground robots, automated vehicles, or RF, radar, or optical detection sensors; systems must have been selected, integrated, or secured for an operation relied upon by others and verified against real targets or runs.
• Experience integrating vendor APIs, SDKs, appliances, machine telemetry, and sensor telemetry into durable platforms.
• Ability to read and review code, design data systems for security tooling, and build automation using Git and code review, often with AI coding agents.
• Hands-on experience with data centers, critical infrastructure, or a large hardware fleet.
• Experience designing within aviation, spectrum, privacy, machine-safety, or similar regulatory and safety constraints, with evidence of the decisions those constraints drove.
• Experience owning a domain end to end, including work with vendors, site operators, partners, and authorities, and operating systems people depend on daily.
• Bachelor’s degree or an equivalent combination of education, training, and experience, with a relevant field of study demonstrated through coursework, training, or professional experience.
• Required years of experience correlate with the internal job level requirements.

Nice to have

• Remote pilot certification, such as FAA Part 107, and experience flying beyond visual line of sight under a waiver or exemption.
• Experience with counter-drone detection, airspace surveillance, or air traffic data systems.
• Experience operating robot, drone, or automated-vehicle fleets in industrial, logistics, or data center settings, including fleet management, mission planning, and safety cases.
• Experience securing embedded, operational technology, or robotic systems, including device identity, network segmentation, update control, and logging.
• Experience with physical security operations at large sites, law enforcement or aviation authorities, or cloud, colocation, or GPU cloud sites not fully controlled by the operator.
• Experience building AI agents or automation that replaced recurring manual work.

Culture & Benefits

• Collaborative work across research, engineering, policy, business, data center operations, legal, site operators, vendors, and public authorities.
• Flexible working hours and an office environment for collaboration.
• Competitive compensation, optional equity donation matching, generous vacation, and parental leave.
• Visa sponsorship may be available, with reasonable efforts and immigration-lawyer support for successful candidates.

Hiring process

• Candidate AI usage is governed by Anthropic’s application-process policy.