Idaho National Laboratory is hiring an Applied AI Engineer to work in our Autonomous Engineering department. Our team works a 9x80 schedule located out of our Idaho Falls facility with every other Friday off. The Autonomous Engineering Department leads research into the application of AI & data-driven design techniques towards accelerating the design and construction timelines of advanced energy projects. The department focuses on changing the way the project personnel author and manage engineering data, building digital engineering ecosystems to connect this data, and leveraging emerging software technologies to increase intelligent automation across the project lifecycle. This group consists of engineers and scientists with backgrounds in both traditional engineering disciplines (mechanical, civil, etc.) and software development, collectively committed to securing our energy future by eliminating repetitive and time-consuming tasks currently bottlenecking engineering and construction workflows. Responsibilities Include: - Apply advanced technologies, such as Explainable Artificial Intelligence/Machine Learning (AI/ML), Large language models (LLMs), physics-informed machine learning process-informed Machine Learning, systems performance analysis, and data sensor fusion methodologies to eliminate engineering process bottlenecks within the nuclear energy industry. - Demonstrate effective research skills and the ability to collaborate and partner with other government agencies, academia, and private sector companies to achieve project objectives. - Publish results of research and development in a mix of refereed publications and conference proceedings. - Work with other research teams to develop and manage cross-cutting technical programs for a variety of customers. - Develop and maintain notebooks, software, and applications. - Work with software and database developers to develop, test, and deploy software code to development, staging and production environments. - May develop software for custom solutions, including 3D visualization tools, paralleled software, batch scripting and web api interaction/development. - Analyze data quality, characterize, and communicate data quality issues to data providers, and design repeatable data processing procedures to accurately analyze data in the presence of quality issues. - Work with domain experts to understand the scope and limits of questions that can be answered by data sets, identify key data features as inputs to analysis, and design output metrics that elegantly describe system attributes and behavior. - Employ specialized methods and state-of-the-art data analysis and modeling tools to support the INL's mission by ensuring the nation’s safe, and sustainable use of engineered systems in many domains by applying capabilities to impactful issues in risk, reliability, and operational performance. - Work with data providers, database administrators, and software developers to diagnose and solve problems with data and software systems quickly and effectively. - You will report to the department manager. - This posting closes: 7/31/25
