Distinguished Engineer, AI Security Systems

CrowdStrike

. 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 .

Posted 10/23/2026full-timeRemote • United StatesSeniorLead💰 $235,000 - $350,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in architecting and deploying AI security systems, with a strong focus on large language models, adversarial machine learning, and cloud-scale infrastructure. Proven ability to lead technical teams, mentor engineers, and drive innovation in cybersecurity through rigorous experimentation and collaboration.

Highest-signal resume keywords

AI Security Systems ArchitectureLarge Language Models ExpertiseAdversarial Machine LearningCloud-Scale InfrastructureTechnical Leadership

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

CC++RustGoPythonMachine LearningSecurity EngineeringDistributed SystemsInference OptimizationThreat Hunting

Soft Skills

MentoringCommunicationProblem-SolvingCollaborationScientific Rigor

Tools & Technologies

VLLMTensorRT-LLMTritonSGLangCloud InfrastructureAI PlatformsCyber RangesEvaluation HarnessesSecurity TelemetryAutonomous Cyber Reasoning Systems

Industry Keywords

CybersecurityEndpoint SecurityCloud SecurityThreat IntelligenceMalware AnalysisVulnerability ResearchAI Red TeamingAutonomous DefendersReinforcement LearningAI-Driven Offensive Security

Tech Stack

Tools & technologies

CloudCyber SecurityDistributed SystemsPythonRustC++Go

About the role

Key responsibilities & impact

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 scale, safety, and operability challenges for customer-grade capabilities
Represent CrowdStrike through publications, open-source work, standards, and collaboration with frontier AI labs, universities, and the security research community

Requirements

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
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 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
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

Comp & perks

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
Health insurance
401k
Paid time off
Bonuses
Equity grants