Senior AI & Data Software Engineer - Digital Twin

Search Jobs - INL Professional Careers; Idaho Falls (ID); On-site; USD 95,000 - 234,000; Full time

Job summary

Idaho National Laboratory is hiring to advance data management and AI ecosystem tools. You will design and develop DeepLynx data frameworks, digital twins, and autonomy applications for national research goals. Expect work across AI/ML, data architecture, and DevOps in a collaborative team.

The role emphasizes full-stack delivery, robust testing, and documentation, with multiple platforms and cloud/on-prem deployment considerations. Idaho Falls or Salt Lake City based.

Qualifications

• Bachelor-level degree with 5+ years of relevant experience for Level 3.
• Level 4 requires 9+ years, or Master’s with 6+ years, or PhD with 4+ years.
• Hands-on experience with Docker and Kubernetes.
• Proficiency in C# and Python.

Responsibilities

• Design, develop, and improve DeepLynx data management and AI ecosystem.
• Architect digital systems to structure data for AI/ML consumption.
• Build agentic AI workflows and machine learning capabilities.
• Apply full-stack development across web, desktop, embedded, and hosted platforms.
• Implement DevOps practices (CI/CD, containerization, cloud/on-prem deployment).
• Provide technical consultation on data architecture and AI integration.

Skills

Evaluate data/software systems

Software engineering principles

Data architecture & modeling

AI/ML concepts

DevOps & CI/CD

Communication skills

Collaboration mindset

Education

Bachelor's degree in Computer Science or related field

Master's degree in Computer Science/Data Engineering/Math/Stats

PhD in a related field (optional)

Tools

Docker

Kubernetes

C#

Python

TypeScript

Rust

C/C++

Job description

Idaho National Laboratory is hiring to advance data management and AI ecosystem tools. You will design and develop DeepLynx data frameworks, digital twins, and autonomy applications for national research goals. Expect work across AI/ML, data architecture, and DevOps in a collaborative team.

The role emphasizes full-stack delivery, robust testing, and documentation, with multiple platforms and cloud/on-prem deployment considerations. Idaho Falls or Salt Lake City based.