Energy AI & Optimization Engineer

National Renewable Energy Laboratory; Golden (CO); On-site; USD 100,000 - 181,000; Full time

Job summary

The National Laboratory of the Rockies (NLR) in Golden, CO seeks an ML and Optimization Engineer to design, develop, and test software supporting energy research and high-performance computing. You will work across AI/ML and optimization to build production-ready systems that operate in real‑world, constrained environments.

You should have strong software skills, experience with PyTorch/TensorFlow, and the ability to communicate complex ideas across teams.

Qualifications

• Bachelor's degree with 5+ years of experience or equivalent relevant education/experience.
• Master's degree with 3+ years of experience or equivalent relevant education/experience.
• PhD or equivalent relevant education/experience.

Responsibilities

• Design, develop, and rigorously test software applications and components using best practices and modern technologies.
• Evaluate AI models and translate findings into production‑ready systems.
• Collaborate across teams to ensure robust, scalable solutions in constrained environments.

Skills

pytorch

tensorflow

Python

JavaScript/TypeScript

C/C++

Education

Bachelor's degree

Master's degree

PhD

Job description

The National Laboratory of the Rockies (NLR) in Golden, CO seeks an ML and Optimization Engineer to design, develop, and test software supporting energy research and high-performance computing. You will work across AI/ML and optimization to build production-ready systems that operate in real‑world, constrained environments.

You should have strong software skills, experience with PyTorch/TensorFlow, and the ability to communicate complex ideas across teams.