Senior Cyber AI Engineer

About the role

Source: LLNL official posting, https://www.llnl.gov/join-our-team/careers/find-your-job/all/all/3743990015543656 (Job Description and Qualifications, posted 09/21/2026). The posting describes cybersecurity and AI/ML work protecting critical infrastructure and Federal networks, including adversarial simulation, operational technology, industrial control systems, attack analysis, and specialized software/modeling. It requires ability to obtain DOE Q clearance; the posting states this requires U.S. citizenship.

Requirements

• Ability to secure and maintain a U.S. Department of Energy Q-level security clearance, which requires U.S. citizenship.
• Bachelors degree in cybersecurity, computer science, information technology, computer engineering, or a related technical field, or equivalent education and experience.
• Advanced experience leading cybersecurity and/or applied AI research and building systems with AI tool pipelines and frameworks.
• Experience in malware analysis, network analysis, host forensics, or a combination of these areas and related tools.
• Advanced knowledge of current AI and cybersecurity technologies; strong analytical, problem-solving, communication, and concurrent task management skills.
• At SES.4: highly advanced project leadership; technical direction, research proposals or sponsor funding; expertise in at least one of network protocol analysis, cybersecurity data science, reverse engineering, or operational technology implementation; and advanced statistical/machine learning model…

What you'll do

• Lead cybersecurity research to identify vulnerabilities and malicious behavior and improve operational technology security.
• Develop technical requirements for data collection and adversarial simulation.
• Analyze novel attacks, TTPs, weaknesses, malicious behavior, and attack vectors; create repeatable workflows.
• Plan modeling and simulation with interdisciplinary scientists and engineers.
• Develop, implement, validate, and document analysis software and models to understand and mitigate OT threats.
• Identify emerging threats and help set LLNL cybersecurity direction.
• Work with sponsors and stakeholders on program growth and research proposals; mentor and collaborate with team members.
• At SES.4, direct complex technical work, set research vision and strategy, and develop approaches and algorithms for major Laboratory programs.

Where this was posted

• LinkedIn

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