Emerging AI & Data Platform Engineer

Pacific Northwest National Laboratory

Richland (WA)

On-site

USD 83,000 - 122,000

Full time

9 days ago
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Benefits offered by this job

Medical insurance
Dental insurance
Vision insurance
Pension plan
401(k) with company match
Vacation days
Paid holidays
Tuition assistance

Job summary

Pacific Northwest National Laboratory (PNNL) is seeking an Early Career Software Engineer to help design, build, and optimize scalable AI systems for processing multi-modal intelligence data. You will collaborate with experienced engineers to deploy production software and data pipelines at scale.

You will gain mentorship and contribute to enterprise data platforms while growing skills in AI/ML engineering, data orchestration, and system architecture within a mission-focused team at PNNL.

Qualifications

  • BS/BA or higher in computer science or related field.
  • Hands-on experience building software applications using Python.
  • Experience programming in Go, Rust, C#, C++ or similar.
  • Solid understanding of software engineering and data management best practices.
  • Familiar with Git, CI/CD and Agile/Scrum environments.

Responsibilities

  • Design, build, and optimize scalable AI/ML systems for multi-modal intelligence data.
  • Collaborate with engineers to deploy production-quality software and data pipelines.
  • Mentor junior engineers and work with researchers on enterprise data platforms.

Skills

Python
Go
Rust
C#/.NET
C++
CI/CD
Git
Cloud platforms
SQL
AI tools
Communication

Education

BS/BA or higher in CS or related field
Degree in computer science / software engineering

Tools

Linux
Docker

Job description

Pacific Northwest National Laboratory (PNNL) is seeking an Early Career Software Engineer to help design, build, and optimize scalable AI systems for processing multi-modal intelligence data. You will collaborate with experienced engineers to deploy production software and data pipelines at scale.

You will gain mentorship and contribute to enterprise data platforms while growing skills in AI/ML engineering, data orchestration, and system architecture within a mission-focused team at PNNL.

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