Distinguished Engineer, AI Security Systems

🔥 0 minutes ago

🇺🇸 United States – Remote

💵 $235k - $350k / year

⏰ Full Time

🟠 Senior

🔴 Lead

🤖 AI Engineer

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Logo of CrowdStrike

CrowdStrike

5001 - 10000 employees

Founded 2011

🔒 Cybersecurity

☁️ SaaS

🤖 Artificial Intelligence

Cybersecurity • SaaS • Artificial Intelligence

CrowdStrike is a cybersecurity company that provides cloud-based security services to stop breaches. It is recognized as a leader in endpoint protection, identity and cloud security, and managed detection and response. CrowdStrike's platform, Falcon, integrates artificial intelligence to offer real-time visibility, detection, and protection against sophisticated cyber threats. The company is lauded for its effectiveness in securing networks and data, making it a trusted partner for businesses worldwide.

📋 Description

• 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

• 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

• 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

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