Senior Software Engineer Applied AI

Idaho National Laboratory is hiring a Senior Software Engineer for Applied AI to work on our Modeling & Tool Development team. Our team operates on a 9x80 schedule located out of the Engineering Research Office Building (EROB), with every other Friday off.

• Lead architecture and design of complex software systems, including solutions that incorporate AI/ML models and capabilities.
• Plan, develop, and implement software engineering solutions to complex problems and major projects across multiple technology stacks.
• Design and build production systems for deploying AI/ML models, including APIs, data pipelines, and integration with existing platforms.
• Apply software engineering principles, theories, and concepts to develop scalable, maintainable solutions using Python, C++, C#, Type Script, and related technologies.
• Work with relational databases (SQL Server) and No
  
  SQL databases (Mongo
  
  DB, Neo4J) to design robust data architectures.
• Support research initiatives by evaluating emerging AI/ML technologies and providing technical guidance on practical application and integration strategies.
• Collaborate with project teams to establish scope, cost, and schedule estimates for design and development activities.
• Participate in technical reviews at various project phases and provide expert recommendations on architecture, technology selection, and implementation approaches.
• Develop and implement CI/CD pipelines, testing frameworks, and deployment strategies for complex systems.
• Maintain and upgrade existing systems while developing new capabilities that advance organizational mission.
• Create and review methodologies and architectures that establish technical standards and best practices.
• Ensure compliance with INL's safety, security, environmental, health and quality assurance requirements.
• Document activities, systems, and methodologies; write and present technical papers representing INL.
• Provide technical leadership and mentorship to junior engineers, including code reviews, design guidance, and professional development support.
• Utilize expertise to define strategic technical direction and contribute to organizational roadmaps.
• Other duties as assigned.

• Level 4:
  Bachelor’s degree in Computer Science, Software Engineering, Computer Information Systems, Data Science, AI/ML, or related field and 9 years of relevant experience.
• Level 5:
  Bachelor’s degree in Computer Science, Software Engineering, Computer Information Systems, Data Science, AI/ML, or related field and 14 years of relevant experience.
• Strong foundation in software engineering principles, design patterns, and system architecture.
• Proficiency in multiple programming languages including Python and at least two of: C++, C#, Type Script/JavaScript.
• Experience with relational databases (SQL Server or similar) and No
  
  SQL databases (Mongo
  
  DB, Neo4J, or similar).
• Experience developing and integrating AI/ML models into production environments.
• Experience with RESTful APIs, microservices architecture, and modern development practices.
• Demonstrated ability to lead technical projects and mentor other engineers.
• This position requires the ability to obtain and maintain a Department of Energy "Q" clearance, which requires US Citizenship.

• Experience architecting and deploying scalable systems in cloud (AWS, Azure, GCP) or on-premises environments.
• Hands‑on experience with ML frameworks (PyTorch, Tensor Flow, scikit‑learn) and the ML development lifecycle.
• Experience with .NET ecosystem (C#, .NET Core, Entity Framework, ASP.NET).
• Experience with modern frontend technologies (Type Script, JavaScript, React or similar).
• Knowledge of MLOps practices, model deployment, and monitoring strategies.
• Experience with Agile/Kanban methodologies and tools like Jira or Azure Dev Ops.
• Familiarity with large language models, agentic AI systems, and emerging AI technologies.
• Strong communication skills with ability to explain complex technical concepts to diverse audiences.

• The pay range for this position is:
  Level 4 ($114,360 – $234,336) / Level 5 ($137,076 – $281,196). Compensation decisions are determined using factors such as…