Senior AI Systems Engineer - ML Ops & Data Pipelines

Pacific Northwest National Laboratory; Seattle (WA); On-site; USD 133,100 - 210,400; Full time

Benefits offered by this job

Medical, dental, vision insurance

401(k) with company match

Flexible spending accounts

Job summary

The Pacific Northwest National Laboratory in Seattle seeks a Senior Software Engineer to contribute to advanced AI capabilities. In this role, you will design and implement scalable systems while collaborating with talented professionals across various disciplines.

Your responsibilities will also include developing infrastructure for data processing and ensuring the successful delivery of innovative solutions. This position requires proven experience in software engineering, particularly with Python, alongside a commitment to mentorship and team collaboration.

Qualifications

• 1+ years of experience for PhD holders in Software Engineering.
• 3+ years of experience for MS/MA holders in Software Engineering.
• 5+ years of experience for BS/BA holders in Software Engineering.
• Current hands-on software development experience in Python.

Responsibilities

• Design scalable, mission-critical solutions across AI platforms.
• Mentor staff and shape technical direction.
• Build ETL pipelines and large-scale data orchestrations.

Skills

Python

.NET/C#

Go

C++

Rust

Git

TDD

CI/CD

Cloud Native

ETL

Education

PhD in Software Engineering or related field

MS/MA in Software Engineering or related field

BS/BA in Software Engineering or related field

Tools

AWS

Azure

GCP

Docker

Kubernetes

Job description

The Pacific Northwest National Laboratory in Seattle seeks a Senior Software Engineer to contribute to advanced AI capabilities. In this role, you will design and implement scalable systems while collaborating with talented professionals across various disciplines.

Your responsibilities will also include developing infrastructure for data processing and ensuring the successful delivery of innovative solutions. This position requires proven experience in software engineering, particularly with Python, alongside a commitment to mentorship and team collaboration.