Senior AI & Data Engineer – Digital Twin & Autonomy

Idaho National Laboratory

Idaho Falls (ID)

On-site

USD 95,000 - 234,000

Full time

2 days ago
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Benefits offered by this job

Relocation package
Tuition assistance
Paid time off
Healthcare benefits
Retirement plan

Job summary

Idaho National Laboratory is seeking a senior software engineer to design and develop data management and AI ecosystem tools. You will work on data frameworks, digital twins, and autonomous AI workflows to support national programmatic and research goals.

The role requires experience with C#/C/C++, Python, Docker/Kubernetes, and cloud platforms (AWS/Azure). You will collaborate with INL scientists and engineers, mentor teammates, and contribute to publications and engineering practices.

Qualifications

  • Requires a Bachelor’s degree (or higher) in CS/Data/Math or related field with years of experience.
  • Hands-on experience with containerization (Docker, Kubernetes).
  • Proficiency in C# and Python.
  • Experience with cloud platforms (AWS/Azure).

Responsibilities

  • Design, develop, and improve data management and AI ecosystem tools.
  • Architect digital systems for AI/ML consumption and data context.
  • Build agentic AI workflows and AI/ML capabilities.
  • Apply full-stack development across web, desktop, embedded, and hosted platforms.

Skills

C#
Python
Docker
Kubernetes
Cloud (AWS/Azure)
Rust
TypeScript
C/C++
DevOps
AI/ML concepts
Data management

Education

Bachelor's degree in Computer Science or related field
Advanced degree (MS/PhD) in related field

Tools

Docker
Kubernetes
CI/CD

Job description

Idaho National Laboratory is seeking a senior software engineer to design and develop data management and AI ecosystem tools. You will work on data frameworks, digital twins, and autonomous AI workflows to support national programmatic and research goals.

The role requires experience with C#/C/C++, Python, Docker/Kubernetes, and cloud platforms (AWS/Azure). You will collaborate with INL scientists and engineers, mentor teammates, and contribute to publications and engineering practices.

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