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USA - Remote; Austin
Source: CrowdStrike careers · View original posting
From CrowdStrike's posting. “We” and “our” refer to the employer.
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.
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.
CrowdStrike, Inc. is committed to fair and equitable compensation practices. Placement within the pay range is dependent on a variety of factors including, but not limited to, relevant work experience, skills, certifications, job level, supervisory status, and location. The base salary range for this position for all U.S. candidates is $235,000 - $350,000 per year, with eligibility for bonuses, equity grants and a comprehensive benefits package that includes health insurance, 401k and paid time off.
For detailed information about the U.S. benefits package, please click here .
Expected Close Date of Job Posting is:12-16-2026
LAYIQ is an independent job-discovery service. This listing does not imply a partnership with or endorsement by the employer. Review the original posting for current details and availability.
Employer posted:
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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