[Hiring] Distinguished Engineer @CrowdStrike

Role Description

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.
• 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. This includes:

• Thinking about the entire application and the systems behind it, from models and agents to security data, tools, and execution environments.
• Work may span autonomous investigation, threat hunting, adversary simulation, detection, response, and remediation.

As a Distinguished Engineer, you will be one of the senior technical leaders of the Lab, making 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.
• Help turn successful research into capabilities that operate at CrowdStrike scale.

Qualifications

• 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.
• Deep cybersecurity expertise developed through significant technical work.
• Deep hands-on experience architecting and building end-to-end AI systems.
• Strong applied research instincts and quantitative rigor.
• Experience taking sophisticated ML or AI systems from research prototypes to real-world deployment.
• Demonstrated technical leadership across teams.
• Research or engineering experience with autonomous or multi-agent systems.
• Experience with adversarial learning, reinforcement learning, and other methods for improving AI systems.
• Experience building AI systems for high-volume, latency-sensitive cybersecurity environments.
• Experience architecting and building extensible AI or agentic platforms.
• Contributions to influential research, open-source software, or technical communities.

Requirements

• Define the future of cybersecurity AI.
• Invent and build new cybersecurity AI systems.
• Develop systems that improve through experience.
• Establish rigorous evaluations.
• Set technical direction across the Lab.
• Turn research breakthroughs into real systems.
• Contribute to the broader technical community.

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.
• Employee Networks, geographic neighborhood groups, and volunteer opportunities.
• Vibrant office culture with world-class amenities.
• Great Place to Work Certified™ across the globe.