Distinguished Engineer, Frontier Agentic AI (Remote)

As a global leader in cybersecurity, CrowdStrike protects the people, processes and technologies that drive modern organizations. Since 2011, our mission hasn’t changed — we’re here to stop breaches, and we’ve redefined modern security with the world’s most advanced AI-native platform. We work on large scale distributed systems, processing almost 3 trillion events per day and this traffic is growing daily. Our customers span all industries, and they count on CrowdStrike to keep their businesses running, their communities safe and their lives moving forward. We're proud to work for a mission-driven company leveraging AI to transform the way we work. CrowdStrikers drive their careers through flexibility and autonomy while also being expected to contribute to a culture of responsible AI adoption, experimentation, and innovation. We use an AI-first mindset as a force multiplier to proactively and continuously accelerate execution, build expertise, uncover insights, and solve complex problems. We’re always looking to add talented CrowdStrikers to the team who have limitless passion, a relentless focus on innovation and a fanatical commitment to our customers, our community and each other. Ready to join a mission that matters? The future of cybersecurity starts with you.

About the Role:

CrowdStrike is seeking a Distinguished Engineer to research, define, and build the future of cybersecurity AI within our Cybersecurity Superintelligence Lab. This role brings together frontier AI research, deep cybersecurity expertise, and large-scale systems engineering. The mandate is broad: understand where AI is going, identify new approaches to cybersecurity, and build systems that fundamentally improve how defenders operate.

You will build against what is possible today while anticipating what advances in models and agentic systems could make possible over the next 12-24 months. That means thinking about the entire application and the systems behind it, from models and agents to security data, tools, and execution environments. The work may span autonomous investigation, threat hunting, adversary simulation, detection, response, and remediation. Some of the most important use cases have yet to be defined.

As a Distinguished Engineer, you will be one of the senior technical leaders of the Lab. You will make original technical contributions while setting direction for teams working on these problems. You will identify important research questions, develop new approaches, build prototypes, establish rigorous evaluations, and help turn successful research into capabilities that operate at CrowdStrike scale.

What You'll Do:

• Define the future of cybersecurity AI. 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.
• Invent and build new cybersecurity AI systems. 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. Use investigations, adversary behavior, simulations, and expert feedback to improve system behavior. 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 the research grounded in real-world defense.
• Establish rigorous evaluations. Build benchmarks, cyber environments, and evaluation harnesses that expose capabilities and failure modes. Measure security efficacy, reliability, performance, and cost.
• Set technical direction across the Lab. 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.
• Turn research breakthroughs into real systems. Carry promising work beyond demonstrations and solve the technical problems required to operate against high-volume security data and adaptive adversaries at CrowdStrike scale.
• Contribute to the broader technical community. 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. You can 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. You can formulate hypotheses, design meaningful experiments, establish credible baselines, and follow 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.
• 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.

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Benefits of Working at CrowdStrike:

• 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

• Great Place to Work Certified™ across the globe

CrowdStrike is proud to be an equal opportunity employer. We are committed to fostering a culture of belonging where everyone is valued for who they are and empowered to succeed. We support veterans and individuals with disabilities through our affirmative action program.

CrowdStrike is committed to providing equal employment opportunity for all employees and applicants for employment. The Company does not discriminate in employment opportunities or practices on the basis of race, color, creed, ethnicity, religion, sex (including pregnancy or pregnancy-related medical conditions), sexual orientation, gender identity, marital or family status, veteran status, age, national origin, ancestry, physical disability (including HIV and AIDS), mental disability, medical condition, genetic information, membership or activity in a local human rights commission, status with regard to public assistance, or any other characteristic protected by law. We base all employment decisions--including recruitment, selection, training, compensation, benefits, discipline, promotions, transfers, lay-offs, return from lay-off, terminations and social/recreational programs--on valid job requirements.

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