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Anthropic - Autonomous Systems Security Engineer

Remote-Friendly (Travel Required) | San Francisco, CA - Hybrid$320k - $320k+ Equity2d ago

In Office NA Banking Artificial Intelligence Security Engineer Lawyer Git Drone

Requirements

• Have engineered autonomous or sensing systems in the field (drones, ground robots, automated vehicles, or RF, radar or optical detection sensors): selected, integrated or secured them for an operation other people relied on, and verified what they actually do against real targets or runs rather than a datasheet • Have integrated systems you did not build (vendor APIs, SDKs, appliances, machine and sensor telemetry) into a platform that outlives any one of them • Read and review code, design the data systems behind security tooling, and build automation (often with AI coding agents) using Git and code review • Have done this work hands-on for data centers, critical infrastructure or a large hardware fleet • Have designed inside a regulatory or safety constraint (aviation, spectrum, privacy, machine safety or similar) and can show the decision it drove • Own a domain end to end: set the approach, carry it through with vendors, site operators, partners and authorities, and run it as something people depend on every day • Remote pilot certification (for example FAA Part 107) and experience flying beyond visual line of sight under a waiver or exemption • Experience with counter-drone (counter-UAS) detection, airspace surveillance or air traffic data systems • Experience running a robot, drone or automated-vehicle fleet in an industrial, logistics or data center setting: fleet management, mission planning, safety cases • Experience securing embedded, operational technology or robotic systems: device identity, network segmentation, update control, logging • Experience with physical security operations at large sites, with law enforcement or aviation authorities, or at sites you did not fully control: cloud, colocation or GPU cloud operators • Have built AI agents or automation that replaced recurring manual work • 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. • Location-based hybrid policy: • 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. • Visa sponsorship: • 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 encourage you to apply even if you do not believe you meet every single qualification. • Your safety matters to us. • How we're different • How we're different • 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! • 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. • Guidance on Candidates' AI Usage:

Responsibilities

• Autonomous security and inspection systems: own the drones, ground robots and other autonomous platforms for perimeter patrol, incident response and infrastructure inspection: platform selection, operating model, operator qualification, maintenance, and the data path from machine to analyst • Autonomous security and inspection systems: • Tools, automation and AI agents: build the integrations that carry detections, tracks, telemetry and fleet health into the team's security monitoring platform, and the tools and agents that triage detections, check fleet health and assemble evidence. When a review keeps costing people time, you build the tool or agent that retires it • Tools, automation and AI agents: • Detection of uncrewed systems: engineer the sensing that tells us what is flying over or operating near a site, what it is and who needs to know: sensor selection and evaluation against live targets, per-site coverage, classification and false-alarm handling, and the playbook from first detection to handoff, with evidence retained • Detection of uncrewed systems: • Security of site automation: engineer the controls on automated vehicles, robots and similar machines that move hardware or work inside secure areas: identity and access, network isolation, what they may record and where it goes, fail-secure behavior, their place in chain of custody, and acceptance before they enter a site • Security of site automation: • Regulatory and site constraints: establish what we may sense, fly, drive, record and retain at each site, partner-operated sites included, under the aviation, spectrum, privacy and safety rules that apply there, with the waivers and approvals that extend it and coordination with local authorities set up before it is needed • Regulatory and site constraints: • Health monitoring: define and test heartbeats, loss-of-coverage and lost-link alarms and fail-secure behavior, so a silent sensor or machine shows as a fault, not a quiet day • Health monitoring: • Vendor requirements and acceptance: write the requirements, evaluate against live flights and runs, and hold vendors to what they ship

Benefits

• 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. • $320,000—$405,000 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 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 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. • How we're different • 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.