[Hiring] Distinguished Engineer, AI Security Systems @CrowdStrike

Role Description

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 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 the hardest problems, mentoring principal-level engineers and research scientists, and aligning cross-functional teams.
• Carry research into production in the Falcon platform, solving 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.

What You’ll Need

• BS, MS, or PhD in Computer Science, Computer Engineering, Electrical Engineering, Applied Mathematics, or a related technical field; PhD 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.
• A 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 the ability to form hypotheses, establish credible baselines, design meaningful experiments, and follow the evidence.
• A 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.

Bonus Points

• 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.

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
• Great Place to Work Certified™ across the globe