Systems Engineer - AI and Automation
About The Position
Idaho National Laboratory's Nuclear Science & Technology directorate is hiring a Systems Engineer for its Digital Engineering department. The position works at the intersection of artificial intelligence, nuclear energy, and model-based systems engineering, with responsibility for the architecture, development, and integration of digital and agentic AI systems that automate and accelerate engineering workflows across design, safety, and licensing. The engineer will develop systems that support nuclear energy design engineering, safety, and licensing processes, including integrations with open-source and commercial platforms such as CAD and modeling and simulation tools. The role also includes defining and validating system requirements, establishing traceability frameworks, evaluating the feasibility, risks, and benefits of applying AI and machine learning to engineering workflows, and making recommendations to technical and program leadership. The position involves curating datasets and developing repeatable, scalable data retrieval procedures and data pipelines that maintain data quality, integrity, and security from training through production deployment. The engineer will apply software engineering principles, use modeling and simulation to address complex problems, and develop, test, document, and maintain software and simulation-based systems. The team works a 9x80 schedule, with every other Friday off, at the Collaborative Computing Center facility.
Requirements
- Advanced degree in Civil Engineering or a related discipline.
- Strong verbal, written, and interpersonal skills.
- Demonstrated ability to collaborate consistently and effectively.
Nice To Haves
- Experience designing and deploying ML/AI or agentic systems that automate engineering workflows.
- Hands-on experience integrating modeling and simulation tools with systems.
- A record of peer-reviewed publications and conference presentations.
- Experience writing code in Python.
Responsibilities
- Architect, develop, and integrate digital and agentic AI systems to automate and accelerate design engineering, safety, and licensing processes.
- Integrate AI systems with open-source and commercial platforms, including CAD and modeling and simulation tools.
- Define and validate system requirements for digital and agentic systems.
- Build traceability frameworks that preserve functional integrity and keep systems aligned with mission objectives and regulatory and organizational policy.
- Perform system-level trade studies on the feasibility, risks, and benefits of integrating ML and AI into design engineering workflows.
- Deliver recommendations to technical and program leadership.
- Curate datasets and design repeatable, scalable data retrieval procedures.
- Lead data pipeline development that upholds data quality, integrity, and security from training through production deployment.
- Apply software engineering principles, theories, and concepts to complex analytical processes and information.
- Leverage modeling and simulation to address complex problems.
- Analyze, test, modify, document, and maintain models or simulation-based systems related to scientific domains.
- Optimize, program, and develop software using appropriate technologies, which may include MATLAB, Simulink, and Python.
- Build, integrate, and support agentic AI workflows and other AI/ML-driven capabilities.
Stand Out From the Crowd
Upload your resume and get instant feedback on how well it matches this job.
What This Job Offers
Job Type
Full-time
