Senior Offensive AI Security Engineer

Accountabilities:: Conduct vulnerability research across applications, products, services, and infrastructure, focusing on subtle, high-impact vulnerabilities and attack paths that cross component or trust boundaries. Use threat analysis, architecture knowledge, source code, observed system behavior, and target familiarity to select research areas and guide investigations. Apply frontier and open-weight AI models, agents, and other AI capabilities throughout the research lifecycle, including reconnaissance, code analysis, hypothesis generation, exploit development, and verification. Design and optimize research harnesses that provide AI models with appropriate context, tools, execution environments, and feedback. Develop custom security tooling such as analysis utilities, fuzzers, agents, test harnesses, proofs of concept, and full exploits when required to answer research questions. Validate model-generated findings by reproducing issues, eliminating false positives, establishing prerequisites, and distinguishing theoretical weaknesses from demonstrated vulnerabilities with meaningful impact. Improve the reliability and scalability of AI-assisted security research by addressing false positives, false negatives, context limitations, nondeterministic behavior, and reproducibility challenges. Evaluate trade-offs between constrained, orchestrated research pipelines and more autonomous tool-using agents depending on the research objective. Partner with engineering and product security teams to communicate findings, support remediation, identify related risks, and validate fixes. Share tools, techniques, research methods, and lessons learned to help strengthen AI-enabled security practices across the broader security organization. Requirements: 5+ years of hands-on experience in vulnerability research, offensive security, application security, penetration testing, or a related discipline. Demonstrated ability to select research targets, formulate and refine hypotheses, and establish exploitability and security impact in complex software or production environments. Hands-on experience applying frontier and open-weight AI models to offensive security workflows, including selecting models appropriately when refusal behavior can interfere with legitimate security research. Experience evaluating AI-driven security research processes, including identifying false positives, missed vulnerabilities, unstable results, and reproducibility gaps. Strong understanding of agent architecture trade-offs and the ability to determine when controlled, reproducible workflows are appropriate versus when more open-ended agents provide value. Deep technical expertise in at least one area such as web applications and APIs, Java applications, cloud or service infrastructure, client software, operating systems, or reverse engineering. Strong programming and debugging capabilities, including the ability to understand unfamiliar code, develop research tooling, create proofs of concept, and trace behavior across system boundaries. Strong intuition for attack surfaces, trust boundaries, exploitability, and security impact. Persistence and self-direction when conducting open-ended research without a predetermined methodology or guaranteed outcome. Ability to communicate complex security findings clearly to both technical and non-technical audiences, including evidence, uncertainties, significance, and potential impact. Strong analytical thinking, research discipline, technical curiosity, and adaptability in a rapidly evolving AI and security environment. Benefits: Base salary range of $124,000–$271,200 , depending on qualifications, experience, and location. Total direct compensation may also include bonus and equity in addition to base salary. Remote work opportunity within the United States. Location-based compensation structure, with ranges potentially varying by location. Comprehensive benefits designed to support physical, mental, emotional, and financial well-being. Benefits and perks supporting work-life balance and personal financial health. Opportunities to work on cutting-edge applications of AI in offensive security and vulnerability research. Collaborative, growth-oriented environment with opportunities to expand technical expertise and take on challenging research problems. Support for reasonable accommodations throughout the hiring process. Commitment to fair hiring practices focused on skills, experience, and potential. Anticipated application closing date: October 14, 2026 .