Distinguished Engineer, Frontier Agentic AI (Remote)

Overview

Distinguished Engineer to research, define, and build the future of cybersecurity AI within CrowdStrike's Cybersecurity Superintelligence Lab, spanning frontier AI research, cybersecurity expertise, and large-scale systems engineering.

What you'll do

• Track advances at the frontier of AI and determine what they make possible for cybersecurity.
• Identify new capabilities and use cases early, with a particular focus on transforming how defenders operate.
• Set the research directions and technical approaches required to pursue them.
• Design end-to-end 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 to enable new capabilities.
• Develop systems that improve through experience, using investigations, adversary behavior, simulations, and expert feedback.
• Explore how offensive validation and defensive outcomes can generate better evidence, evaluations, and training signals.
• Work directly with threat researchers, incident responders, red teamers, and other security experts to keep research grounded in real-world defense.
• Build benchmarks, cyber environments, and evaluation harnesses that expose capabilities and failure modes, and measure security efficacy, reliability, performance, and cost.
• Lead consequential research and architecture decisions across teams.
• Work directly on hard technical problems, mentor senior researchers and engineers, and drive alignment through prototypes, experiments, and evidence.
• Carry promising research beyond demonstrations and solve the technical problems required to operate against high-volume security data and adaptive adversaries at CrowdStrike scale.
• Represent CrowdStrike through research publications, open-source contributions, technical collaborations, and engagement with the AI and cybersecurity research communities.

What you'll need

• PhD in Computer Science, Computer Engineering, Applied Mathematics, Statistics, Neuroscience, or a related quantitative field.
• A 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 developed through 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 to them.
• Deep hands-on experience architecting and building end-to-end AI systems that combine models, reasoning, tools, data, and execution environments.
• Strong applied research instincts and quantitative rigor: formulating hypotheses, designing meaningful experiments, establishing credible baselines, and following the 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 have

• 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.

Details

• Location: USA, remote.
• Base salary range for U.S. candidates: $235,000 - $350,000 per year, with eligibility for bonuses, equity grants and a comprehensive benefits package.