Dice · 1 month ago
Principal Cyber Operations Engineer
MITRE is a nonprofit engineering, applied research, and advanced technology organization supporting national security, cybersecurity, health, transportation, and citizen services. The Principal Cyber Operations Engineer will develop and integrate AI-enabled capabilities for cyber operations, digital investigations, reverse engineering, and mission analytics. The role also involves forensic analysis, emerging technology research, technical leadership, stakeholder collaboration, and secure AI deployment.
Telecom & CommunicationsHuman ResourcesInternetRecruiting
Growth OpportunitiesNo H1BSecurity Clearance RequiredU.S. Citizen Only
Responsibilities
Design, develop, and implement advanced cyber and AI-enabled capabilities supporting operational mission objectives and technology innovation initiatives
Lead development and integration of AI/ML tools and supporting infrastructure for cyber operations, digital investigations, reverse engineering, and mission analytics
Identify opportunities for automation, optimization, and data-driven decision-making across cyber operations and digital investigation workflows
Conduct and support digital, mobile, cloud, and network forensic analysis activities in support of mission requirements
Develop prototypes, tools, analytics, and workflows supporting cyber operations, vulnerability research, reverse engineering, and investigative activities
Research and evaluate emerging AI cyber technologies applicable to forensic techniques and/or operational tradecraft
Establish and implement best practices for AI governance, operational security, responsible AI usage, and secure deployment within mission environments
Support sponsor engagements and collaborate with technical representatives, investigators, operators, and multidisciplinary engineering teams
Prepare and deliver technical documentation, assessments, demonstrations, testing reports, and operational briefings to internal and external stakeholders
Provide technical leadership, mentorship, and knowledge transfer to cyber operations and engineering teams
Work independently to rapidly learn new technologies, platforms, operational methodologies, and investigative techniques in evolving cyber mission environments
Qualification
Required
* Typically requires a minimum of 10 years of related experience with a Bachelor's degree; or 8 years and a Master's degree; or a PhD with 5 years' experience; or equivalent combination of related education and work experience
* Degree in Computer Science, Artificial Intelligence, Machine Learning, Software Engineering, Cybersecurity, Data Science, or related technical field
* Experience designing, developing, or deploying AI/ML systems in operational or research environments
* Experience programming in languages such as Python, Java, C++, or C
* Experience with AI/ML frameworks and tooling such as PyTorch, TensorFlow, Scikit-learn, LangChain, MLflow, Hugging Face, Sage, Cursor, Claude Code, or equivalent
* Familiarity with deploying AI solutions within secure, enterprise, cloud, hybrid, or disconnected operational environments
* Strong familiarity with Linux systems and development environments
* Strong familiarity with cybersecurity operations concepts and objectives
* Strong familiarity with one or more cyber technical disciplines such as: Digital forensics, Mobile or cloud forensics, Reverse engineering, Vulnerability research, IoT analysis, Network packet capture and analysis
* Strong familiarity with database systems such as PostgreSQL and/or SQLite
* Experience applying professional engineering principles, theories, concepts, and techniques to complex technical problems
* Strong written and verbal communication skills with ability to communicate complex technical concepts to technical and non-technical stakeholders
* Must be eligible to obtain and maintain a Top Secret U.S Government issued Security Clearance
* This position requires a minimum of 3 days a week on-site
The candidate for this position should have familiarity in one or more of the following disciplines: digital forensics, mobile forensics, cloud forensics, reverse engineering, vulnerability research, network packet capture and analysis, IoT investigations, AI/ML development, or cyber analytics. Candidates should also possess a strong interest in applying emerging AI technologies and advanced analytics to operational cyber and investigative challenges
Preferred
* Experience applying AI/ML to cyber operations, reverse engineering, digital investigations, or mission analytics
* Experience developing or integrating large language models (LLMs), retrieval-augmented generation (RAG), autonomous agents, or generative AI solutions
* Strong familiarity with AI security, adversarial machine learning, model validation, and responsible AI governance practices
* Experience with cloud-native AI/ML infrastructure and containerized deployments (Docker, Kubernetes, OpenShift, etc.)
* Operational experience with network forensics and PCAP analysis
* Experience conducting applied research, rapid prototyping, or proof-of-concept development in mission environments
* Experience supporting outward-facing sponsors and collaborative technical engagements
* Strong familiarity with DevSecOps, MLOps, CI/CD pipelines, and infrastructure automation
* Experience briefing technical strategies, assessments, and demonstrations to leadership or sponsor organizations
* Prior experience working within government, defense, intelligence, or national security environments
* Having previously held a Top Secret/SCI clearance or equivalent suitability determination
* Demonstrated technical leadership of multidisciplinary engineering or research teams
Company
Dice
Tech career marketplace connecting professionals with recruiters.
Funding
Current Stage
Growth StageLeadership Team
Daniel Hinck
Client Success Partner
Kalyn Thorne
Client Success Partner - Enterprise
Recent News
2025-08-25
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