Nuclear AI Engineer: Fuel Design & Optimization

EDF; Lynchburg (VA); On-site; USD 80,000 - 110,000; Full time

Job summary

A leading energy company in Lynchburg is seeking an AI/Digital Engineer to join their Fuel Design team. This role involves applying AI and machine learning techniques to optimize nuclear fuel cycle processes. Candidates should have a strong background in computer science or related fields, with proficiency in Python and ML libraries like TensorFlow and PyTorch. The position offers opportunities to collaborate with cross-functional teams, enhance decision-making, and drive innovation in the nuclear sector.

Qualifications

• Experience applying automation on Linux systems to enhance data analysis.
• Strong understanding of runtime optimization in a HPC environment.
• Ability to explain technical details clearly to non-experts.

Responsibilities

• Propose and implement AI/ML models for nuclear fuel management.
• Collaborate with subject matter experts to translate domain knowledge.
• Communicate findings through visualizations and technical reports.

Skills

Python

Machine Learning

Data Analysis

Linux

Automation (Python or Bash)

Education

B.S. or M.S. in Computer Science, Data Science, Nuclear Engineering, Applied Mathematics

Ph.D. in related field (Preferred)

Tools

scikit-learn

TensorFlow

PyTorch

NumPy

Pandas

SQL

Job description

A leading energy company in Lynchburg is seeking an AI/Digital Engineer to join their Fuel Design team. This role involves applying AI and machine learning techniques to optimize nuclear fuel cycle processes. Candidates should have a strong background in computer science or related fields, with proficiency in Python and ML libraries like TensorFlow and PyTorch. The position offers opportunities to collaborate with cross-functional teams, enhance decision-making, and drive innovation in the nuclear sector.