Distinguished Engineer, AI Security Systems (Remote)

CrowdStrike • USA WA Remote, WA

4d • $235,000 - $350,000 • Remote

About The Position

CrowdStrike’s Cybersecurity Superintelligence Lab is its frontier AI research organization for cyber defense. The Lab works across frontier and open-weight models, CrowdStrike-trained models, specialized agents, reinforcement learning, evaluation, and secure deployment, drawing on Falcon events, adversary intelligence, expert-validated outcomes, and high-fidelity cyber environments.

The Distinguished Engineer will architect systems that turn frontier AI into autonomous, trustworthy cyber defense, from the sensor to the cloud. This senior technical leader will write code, design experiments, set technical direction across research and engineering teams, and bring breakthroughs into the Falcon platform. The role calls for experience building AI and security systems that operate in production and stop real adversaries, including expertise at the endpoint, cloud scale, or ideally both.

Requirements

• BS, MS, or PhD in Computer Science, Computer Engineering, Electrical Engineering, Applied Mathematics, or a related technical field; a PhD is preferred.
• 15+ years of industry experience in software engineering, machine learning, or security engineering; 12+ years with a PhD.
• 8+ years at a senior technical leadership level, such as Principal, Distinguished, or equivalent.
• Track record of architecting, building, and shipping production AI or ML systems for security, on the endpoint or at cloud scale.
• Hands-on expertise with large language models and agentic architectures, including planning, tool use, memory, context management, post-training, reward modeling, and inference optimization.
• Deep security expertise in areas such as detection and response, threat hunting, malware analysis, vulnerability research, adversary tradecraft, or security automation.
• Expert-level proficiency in one or more of C, C++, Rust, Go, or Python.
• Deep experience with distributed systems, high-throughput data infrastructure, and GPU inference stacks such as vLLM, TensorRT-LLM, Triton, or SGLang.
• Scientific rigor and ability to form hypotheses, establish credible baselines, design meaningful experiments, and follow the evidence.
• Record of setting technical vision, raising the bar for senior engineers and researchers, and communicating complex tradeoffs clearly.
• Proven experience using AI technologies to improve decision-making, streamline workflows and processes, increase efficiency, and drive business outcomes.

Nice To Haves

• Cybersecurity industry experience across endpoint, cloud, identity, SIEM, or threat intelligence.
• Experience at a frontier AI lab in pre-training, post-training, reinforcement learning, inference, evaluation, or safety.
• Experience with adversarial machine learning, AI red teaming, autonomous cyber reasoning systems, or AI-driven offensive security.
• Experience building extensible AI or agentic platforms that enable teams to safely develop, evaluate, optimize, and deploy AI applications at scale.
• Recognized technical contributions, including publications, patents, influential open-source projects, or conference talks spanning AI and security.

Responsibilities

• Architect the Lab’s end-to-end AI security systems, 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 learning, post-training, reward modeling, and synthetic data.
• Engineer for adversarial conditions, including evasion, poisoning, prompt injection, tool abuse, sandboxed execution, and autonomous action in customer environments.
• Establish benchmarks, cyber ranges, and evaluation harnesses measuring efficacy, false-positive cost, reliability, latency, and spend.
• Lead through technical depth by working on difficult problems, mentoring principal-level engineers and research scientists, and aligning cross-functional teams.
• Carry research into production in the Falcon platform, addressing the scale, safety, and operability challenges required for customer-grade capabilities.
• Represent CrowdStrike through publications, open-source work, standards, and collaboration with frontier AI labs, universities, and the security research 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 regardless of level or role.
• Employee Networks, geographic neighborhood groups, and volunteer opportunities to build connections.
• Vibrant office culture with world-class amenities.
• Eligibility for bonuses and equity grants.
• Health insurance, 401(k), and paid time off.

What This Job Offers

• Job Type: Full-time
• Career Level: Principal