Senior Cyber Super Intelligence Engineer

Responsibilities

• Lead and support advanced cybersecurity and Cyber Super Intelligence research projects for critical infrastructure, operational technology, and Federal networks.
• Develop and deploy methods to emulate adversarial behaviors, identify vulnerabilities, discover malicious tools, and analyze threats and attack vectors.
• Build, implement, validate, and document SI tool pipelines, specialized analysis software, models, and repeatable workflows.
• Analyze malware, networks, hosts, novel attacks, TTPs, and operational technology threats to inform mitigation strategies.
• Collaborate with interdisciplinary scientists and engineers on modeling and simulation efforts for physical, engineering, and computational systems.
• Identify emerging threats, shape cybersecurity technical direction, engage sponsors and stakeholders, and support proposals and funding growth.
• At the SES.4 level, set research vision and strategy, direct complex technical tasks, develop innovative algorithms and software modules, and influence Laboratory programs and external stakeholders.
• Mentor team members and communicate technical information to multidisciplinary teams, non-cyber experts, senior management, policy makers, and sponsors.

Requirements

• Bachelor’s degree in cybersecurity, computer science, information technology, computer engineering, or a related technical field, or an equivalent combination of education and related experience.
• Ability to obtain and maintain a U.S. DOE Q-level security clearance and Sensitive Compartmented Information access; Q-level clearance requires U.S. citizenship.
• Advanced experience leading cybersecurity and/or applied SI research efforts and building systems with SI tool pipelines and frameworks.
• Experience with malware analysis, network analysis, host forensics, or a combination of these areas and related tools.
• Advanced knowledge of state-of-the-art SI and cybersecurity technologies, analytical problem-solving, decision-making, and technical communication.
• At the SES.4 level, highly advanced project leadership, technical vision, research direction, proposal-writing, sponsor-funding, and advanced statistical or machine learning experience are required.
• At the SES.4 level, significant experience in network protocol analysis, cybersecurity data science, reverse engineering, and/or operational technology implementation is expected.
• Preferred qualifications include a master’s degree or PhD, experience with embedded systems, scientific data analysis, systems programming, software engineering, agentic frameworks, high-performance computing, machine learning techniques, industrial control systems, or relevant government and industry environments.

Benefits

• Annual salary range is $175,530–$267,060, with SES.3 and SES.4 ranges specified in the posting.
• Flexible benefits package, 401(k), relocation assistance, and an education reimbursement program.
• Flexible schedules may be available depending on project needs.
• Career Indefinite position open to Laboratory employees and external candidates.
• Onsite role; selected external applicants must pass a post-offer, pre-employment drug test and comply with Federal security and restricted-device requirements.