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Distinguished Engineer, AI Security Systems; Remote

Remote / Online - Candidates ideally in
Nampa, Canyon County, Idaho, 83651, USA
Listing for: CrowdStrike Inc.
Remote/Work from Home position
Listed on 2026-10-30
Job specializations:
  • IT/Tech
    AI Engineer (Applied/Software), Cybersecurity
Salary/Wage Range or Industry Benchmark: 235000 - 350000 USD Yearly USD 235000.00 350000.00 YEAR
Job Description & How to Apply Below
Position: Distinguished Engineer, AI Security Systems (Remote)

USA - Remote

Full time

R30378

As a global leader in cybersecurity, Crowd Strike 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 Crowd Strike 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. Crowd Strikers 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 Crowd Strikers 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 Lab:

AI is changing cyber offense and defense simultaneously. Adversaries use models to inspect code, hunt vulnerabilities, adapt tooling, and conduct longer operations. Crowd Strike built the Cybersecurity Superintelligence Lab to ensure defenders stay ahead.

The Lab is Crowd Strike’s frontier AI research organization for cyber defense. Its work spans frontier and open-weight models, Crowd Strike-trained models, specialized agents, reinforcement learning, evaluation, and secure deployment.

The Lab combines trillions of Falcon events each day, more than a decade of adversary intelligence, expert-validated outcomes, and high-fidelity environments where offensive and defensive AI can attack, defend, learn, and prove what works in real enterprise environments.

About the Role:

We are seeking a Distinguished Engineer who has built AI and security systems that operate in the real world and stop real adversaries.

You may have worked on the endpoint, where every millisecond, megabyte, and CPU cycle matters, or at cloud scale, where systems reason over trillions of events and design decisions affect cost, latency, and efficacy across millions of protected assets. Ideally, you understand both.

As one of the Lab’s most senior technical leaders, you will architect systems that turn frontier AI into autonomous, trustworthy cyber defense—from the sensor to the cloud. You will write code, design experiments, set technical direction across research and engineering teams, and carry breakthroughs into the Falcon platform.

If you have shipped AI that stops adversaries in production and want to build what comes next, we want to talk.

What You’ll Do:

  • Architect the Lab’s AI security systems end to end, including models, agents, security telemetry, tools, execution environments, on-sensor inference, and cloud-scale reasoning.

  • Bring frontier AI to the endpoint using distillation, quantization, compact and specialized models, and integration with kernel- and user-mode telemetry.

  • Build cloud-scale streaming detection and inference systems across trillions of events per day, with GPU-efficient serving, intelligent model routing, and disciplined control of cost, latency, and reliability.

  • Build autonomous defenders that investigate, hunt, write and validate detections, and drive response and remediation.

  • Create systems that learn from investigations, adversary emulation, simulations, expert feedback, reinforcement…

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