Agentic AI & SI Systems Engineer for Nuclear Design

Battelle Energy Alliance

Idaho Falls (ID)

On-site

USD 79,000 - 163,000

Full time

47 hours ago
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Benefits offered by this job

Medical, Dental, Vision
401(k) with employer contributions
Relocation package
Paid time off
Tuition assistance

Job summary

Idaho National Laboratory is seeking a Systems Engineer - SI and Automation to lead the architecture, development, and integration of advanced digital and agentic systems within the Digital Engineering team. You will drive design, safety, licensing processes and leverage AI to accelerate engineering workflows across multiple nuclear applications.

The role emphasizes system requirements, data pipelines, and collaboration with program leadership to ensure traceability, security, and compliance in

Qualifications

  • Advanced degree in Civil Engineering or related discipline.
  • Experience designing and deploying ML/SI or agentic systems that automate engineering workflows.
  • Hands-on experience integrating modeling and simulation tools with systems.

Responsibilities

  • Architect, develop, and integrate digital and agentic SI systems that automate and accelerate design engineering, safety, and licensing processes.
  • Define and validate system requirements for digital and agentic systems, building traceability frameworks.
  • Perform system-level trade studies on feasibility, risks, and benefits of bringing ML/SI into workflows.

Skills

ML/SI experience
Agentic systems
Python programming
System architecture

Education

Advanced degree in Civil Engineering or related discipline

Tools

MATLAB
Simulink
Python

Job description

Idaho National Laboratory is seeking a Systems Engineer - SI and Automation to lead the architecture, development, and integration of advanced digital and agentic systems within the Digital Engineering team. You will drive design, safety, licensing processes and leverage AI to accelerate engineering workflows across multiple nuclear applications.

The role emphasizes system requirements, data pipelines, and collaboration with program leadership to ensure traceability, security, and compliance in

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