OpenAI - Offensive Security Agent Engineer
Requirements
• Background or expertise in AI or data science. • Prior experience working in tech startups or fast-paced technology environments. • Experience in related disciplines such as Software Engineering, Product Security, Application Security, Detection Engineering, Site Reliability Engineering, Security Engineering, or IT Infrastructure. • OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.
Responsibilities
• Serve as the technical owner of OpenAI’s offensive security agents, establishing its architecture, technical direction, operating model, and evaluation strategy. • Design and build a portfolio of specialized agents that continuously test OpenAI’s infrastructure and applications from a variety of authenticated and unauthenticated perspectives. • Translate expert offensive security workflows and intuition into tools, skills, harnesses, policies, and internal knowledge bases. • Build agents that deeply understand OpenAI’s environment by integrating internal context. • Develop capabilities for testing cloud and Kubernetes environments, modern web applications, external attack surface, endpoints, and other high-value systems. • Build complete vulnerability-management loops that move beyond discovery to impact validation, ownership identification, prioritization, remediation support, progress tracking, and fix verification. • Design human-in-the-loop systems that allow offensive security engineers to approve or reject potentially dangerous actions, provide missing context, redirect investigations, and steer agents away from unproductive paths. • Create feedback mechanisms that allow agents to learn from the decisions, corrections, and domain expertise of experienced offensive security practitioners. • Develop rigorous evaluations that measure meaningful security outcomes and improvements in agent capability over time. • Build production-quality infrastructure that allows the system to run continuously, recover from failures, remain observable and debuggable, and operate safely against production systems. • Investigate failures in agent reasoning and behavior, identify where models are capable or unreliable, and improve the surrounding tools, context, workflows, and guardrails accordingly. • Partner closely with offensive security, infrastructure security, product security, codex security, and engineering teams to ensure findings are high signal, understandable, and actionable. • Help define the future of offensive security at OpenAI, with the goal of enabling agents to perform most repeatable security testing while human experts focus on automation and high leverage agent-assisted manual review. • You have substantial hands-on offensive security experience and strong judgment about which vulnerabilities and attack paths are worth pursuing. • You have extensive domain expertise in areas such as cloud security, Kubernetes and container security, web application security, source-code review, Linux security, macOS security, or external attack-surface testing. Expertise in cloud, Kubernetes, and modern web applications is especially valuable. • You have experience assessing complex, highly customized environments rather than relying primarily on standardized scanners, checklists, or known-vulnerability detection. • You can take an ambiguous offensive security problem, decompose it into a reliable system, and encode the reasoning and workflows of an experienced operator into software. • You have built production quality software • You have built or meaningfully extended agent systems that use models, tools, structured context, memory, orchestration, and feedback loops to perform complex work. • You understand that an impressive agent demonstration is very different from a dependable production system, and you care deeply about evaluations, observability, failure recovery, safety, maintainability, and regression resistance. • You have strong intuitions about where current models are capable, where they are unreliable, and how tools, context, scaffolding, and human feedback can expand their useful operating range. • You are excited about working closely with frontier models, curious about their emerging capabilities, and constantly look for ways to use them to improve your own workflows. • You are energized by the opportunity to serve as a technical owner of an ambitious new system, make foundational architectural decisions, and help grow a team around it.
Benefits
• $347K – $490K • Offers Equity • The base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. If the role is non-exempt, overtime pay will be provided consistent with applicable laws. In addition to the salary range listed above, total compensation also includes generous equity, performance-related bonus(es) for eligible employees, and the following benefits. • Medical, dental, and vision insurance for you and your family, with employer contributions to Health Savings Accounts • Pre-tax accounts for Health FSA, Dependent Care FSA, and commuter expenses (parking and transit) • 401(k) retirement plan with employer match • Paid parental leave (up to 24 weeks for birth parents and 20 weeks for non-birthing parents), plus paid medical and caregiver leave (up to 8 weeks) • Paid time off: flexible PTO for exempt employees and up to 15 days annually for non-exempt employees • 13+ paid company holidays, and multiple paid coordinated company office closures throughout the year for focus and recharge, plus paid sick or safe time (1 hour per 30 hours worked, or more, as required by applicable state or local law) • Mental health and wellness support • Employer-paid basic life and disability coverage • Annual learning and development stipend to fuel your professional growth • Daily meals in our offices, and meal delivery credits as eligible • Relocation support for eligible employees • Additional taxable fringe benefits, such as charitable donation matching and wellness stipends, may also be provided. • More details about our benefits are available to candidates during the hiring process. • This role is at-will and OpenAI reserves the right to modify base pay and other compensation components at any time based on individual performance, team or company results, or market conditions. • Security is at the foundation of OpenAI’s mission to ensure that artificial general intelligence benefits all of humanity. The Security team protects OpenAI’s technology, people, and products. We are technical in what we build but are operational in how we do our work, and are committed to supporting all products and research at OpenAI. Our Security team tenets include: prioritizing for impact, enabling researchers, preparing for future transformative technologies, and engaging a robust security culture. • We’re seeking an exceptional Staff - Principal level offensive security domain expert to build agents that continuously identify and coordinate remediation of vulnerabilities across OpenAI’s infrastructure and applications. You will be the technical owner of this effort, combining deep offensive security judgment with agent engineering to build a production system that can operate safely and reliably at scale. • As OpenAI increasingly uses automation throughout the company, we believe our security testing must become increasingly automated as well. Advances in model capabilities create an opportunity to test more of our attack surface than would be possible through human effort alone and a need to ensure that we remain ahead of those same capabilities as they become available to attackers. • In this role, you’ll build a portfolio of specialized agents that develop a deep understanding of OpenAI’s infrastructure, applications, processes, and security boundaries. These agents will combine internal context with feedback from running systems to explore our cloud environments, Kubernetes clusters, web applications, endpoints, external attack surface, and other high-value targets. • The goal is for agents to not only discover vulnerabilities, but also to validate exploitability, document impact, drive remediation, and verify fixes. Success will be measured through outcomes like vulnerabilities fixed, attack surface covered, and performance on evals you’ll build. • These systems will operate continuously and with increasing autonomy, while using carefully designed guardrails and human-in-the-loop controls for dangerous actions. They will also learn from feedback from other domain experts throughout the company.
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