Distinguished Engineer, Frontier Agentic AI (Remote)

CrowdStrike•Austin, TX

21h•Remote

About The Position

CrowdStrike is seeking a Distinguished Engineer to research, define, and build the future of cybersecurity AI within its Cybersecurity Superintelligence Lab. The role combines frontier AI research, deep cybersecurity expertise, and large-scale systems engineering. The engineer will evaluate emerging AI capabilities, identify new cybersecurity approaches, and build systems that improve how defenders operate, considering both current possibilities and advances in models and agentic systems over the next 12–24 months. The work may cover autonomous investigation, threat hunting, adversary simulation, detection, response, and remediation, including use cases that have not yet been defined. As a senior technical leader in the Lab, the Distinguished Engineer will make original technical contributions and set direction for teams. They will identify research questions, develop approaches, build prototypes, establish rigorous evaluations, and help translate successful research into capabilities operating at CrowdStrike scale. The role also includes technical leadership across teams, mentoring senior researchers and engineers, and representing CrowdStrike through research publications, open-source work, technical collaborations, and engagement with AI and cybersecurity communities.

Requirements

PhD in Computer Science, Computer Engineering, Applied Mathematics, Statistics, Neuroscience, or a related quantitative field.
Sustained record of original work at the intersection of AI and cybersecurity, including research or systems that introduced new capabilities, approaches, or applications.
Deep cybersecurity expertise from significant technical work in areas such as threat hunting, detection and response, vulnerability research, adversary behavior, security analytics, or security automation.
Ability to independently identify important security problems and opportunities for applying AI.
Deep hands-on experience architecting and building end-to-end AI systems combining models, reasoning, tools, data, and execution environments.
Strong applied research instincts and quantitative rigor, including formulating hypotheses, designing meaningful experiments, establishing credible baselines, and following evidence.
Experience taking sophisticated ML or AI systems from research prototypes to real-world deployment.
Demonstrated technical leadership across teams, including setting research and engineering direction, mentoring senior technical talent, and influencing major decisions through technical depth and evidence.

Nice To Haves

Research or engineering experience with autonomous or multi-agent systems, long-horizon reasoning, adversary simulation, or closed-loop security systems.
Experience with adversarial learning, reinforcement learning, model post-training, synthetic data, or other methods for improving AI systems through interaction and feedback.
Experience building AI systems for high-volume, latency-sensitive cybersecurity environments.
Experience architecting and building extensible AI or agentic platforms that enable teams to develop, evaluate, optimize, and deploy sophisticated AI applications at scale.
Contributions to influential research, open-source software, or technical communities spanning AI and cybersecurity.

Responsibilities

Track frontier AI advances and determine their potential cybersecurity applications; identify new capabilities and use cases and set research directions and technical approaches.
Design and build end-to-end cybersecurity AI applications that reason across security context, use tools, coordinate, and execute complex security tasks.
Determine how models, agents, security telemetry, and execution environments should work together.
Develop systems that improve through investigations, adversary behavior, simulations, and expert feedback; explore offensive validation and defensive outcomes as sources of evidence, evaluations, and training signals.
Work with threat researchers, incident responders, red teamers, and other security experts to ground research in real-world defense.
Build benchmarks, cyber environments, and evaluation harnesses; measure security efficacy, reliability, performance, and cost.
Lead consequential research and architecture decisions across teams, contribute directly to difficult technical problems, mentor senior researchers and engineers, and drive alignment through prototypes, experiments, and evidence.
Take promising research beyond demonstrations and address the technical challenges of operating on high-volume security data against adaptive adversaries at CrowdStrike scale.
Represent CrowdStrike through research publications, open-source contributions, technical collaborations, and engagement with AI and cybersecurity research communities.

Benefits

Market leader in compensation and equity awards
Comprehensive physical and mental wellness programs
Competitive vacation and holidays for recharge
Paid parental and adoption leaves
Professional development opportunities for all employees regardless of level or role
Employee Networks, geographic neighborhood groups, and volunteer opportunities to build connections
Vibrant office culture with world class amenities
Health insurance
401k
Paid time off
Eligibility for bonuses and equity grants