Distinguished Engineer, Frontier Agentic AI

Job not on LinkedIn

🔥 0 minutes ago

🇺🇸 United States – Remote

💵 $235k - $350k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

🤖 Artificial Intelligence

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

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CrowdStrike

WebsiteLinkedInAll Job Openings

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

• Research, define, and build the future of cybersecurity AI within the Cybersecurity Superintelligence Lab • Understand where AI is going, identify new approaches to cybersecurity, and build systems that improve how defenders operate • Anticipate advances in models and agentic systems over the next 12–24 months • Design applications and systems spanning models, agents, security data, tools, and execution environments • Work across autonomous investigation, threat hunting, adversary simulation, detection, response, and remediation • Make original technical contributions while setting direction for teams • Identify research questions, develop approaches, build prototypes, establish rigorous evaluations, and transition successful research into capabilities operating at CrowdStrike scale • Track frontier AI advances and determine their cybersecurity applications • Set research directions and technical approaches • Design end-to-end cybersecurity AI systems that reason across security context, use tools, coordinate, and execute complex security tasks • Improve system behavior using investigations, adversary behavior, simulations, and expert feedback • Collaborate with threat researchers, incident responders, red teamers, and other security experts • Build benchmarks, cyber environments, and evaluation harnesses measuring efficacy, reliability, performance, and cost • Lead research and architecture decisions across teams • Mentor senior researchers and engineers and drive alignment through prototypes, experiments, and evidence • Turn research breakthroughs into production systems handling high-volume security data and adaptive adversaries • Represent CrowdStrike through research publications, open-source contributions, technical collaborations, and engagement with AI and cybersecurity research communities

🎯 Requirements

• PhD in Computer Science, Computer Engineering, Applied Mathematics, Statistics, Neuroscience, or a related quantitative field • A sustained record of original work at the intersection of AI and cybersecurity, including research or systems that introduced new capabilities, approaches, or applications • Deep cybersecurity expertise developed through significant technical work in threat hunting, detection and response, vulnerability research, adversary behavior, security analytics, or security automation • Ability to independently identify important security problems and opportunities for applying AI • Deep hands-on experience architecting and building end-to-end AI systems combining models, reasoning, tools, data, and execution environments • Strong applied research instincts and quantitative rigor, including hypothesis formulation, experiment design, credible baselines, and evidence-based analysis • Experience taking sophisticated ML or AI systems from research prototypes to real-world deployment • Demonstrated technical leadership across teams, including setting research and engineering direction, mentoring senior technical talent, and influencing major decisions through technical depth and evidence • Research or engineering experience with autonomous or multi-agent systems, long-horizon reasoning, adversary simulation, or closed-loop security systems • Experience with adversarial learning, reinforcement learning, model post-training, synthetic data, or other methods for improving AI systems through interaction and feedback • Experience building AI systems for high-volume, latency-sensitive cybersecurity environments • Experience architecting and building extensible AI or agentic platforms for developing, evaluating, optimizing, and deploying sophisticated AI applications at scale • Contributions to influential research, open-source software, or technical communities spanning AI and cybersecurity

🏖️ 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 • Health insurance • 401k • Paid time off • Eligibility for bonuses • Equity grants