AI Platform Engineer — Cloud, ML Infra & Real-Time Pipelines

Pacific Northwest National Laboratory; Seattle (WA); On-site; USD 109,000 - 164,000; Full time

Benefits offered by this job

Medical insurance

Dental insurance

Vision insurance

401(k) match

Paid time off

Relocation assistance

Job summary

Pacific Northwest National Laboratory (PNNL) seeks a DevOps/Platform Engineer to build scalable AI platforms, cloud-native infrastructure, and high-performance data pipelines supporting national security missions. The role emphasizes AI/ML workloads, distributed systems, and collaboration with researchers.

Join an interdisciplinary team in Richland, WA or Seattle, WA with onsite work Monday-Thursday; Friday as needed.

Qualifications

• PhD or MS/MA; or BS/BA with two years of software development experience.
• Hands-on Python development experience.
• Experience with cloud platforms, infrastructure automation, or CI/CD.
• Exposure to AI/ML workflows, data pipelines, or model deployment.

Responsibilities

• Join PNNL’s AI engineering team and help build scalable AI platforms and real-time data pipelines.
• Develop cloud-native infrastructure, CI/CD pipelines, and automated testing.
• Improve system performance, observability, and security across production environments.
• Collaborate with software engineers, data scientists, and researchers to deliver AI capabilities.

Skills

Python

Cloud platforms

CI/CD

AI/ML workflows

Data pipelines

Education

PhD

MS/MA

BS/BA with 2 years software development

Tools

Docker

Kubernetes

Job description

Pacific Northwest National Laboratory (PNNL) seeks a DevOps/Platform Engineer to build scalable AI platforms, cloud-native infrastructure, and high-performance data pipelines supporting national security missions. The role emphasizes AI/ML workloads, distributed systems, and collaboration with researchers.

Join an interdisciplinary team in Richland, WA or Seattle, WA with onsite work Monday-Thursday; Friday as needed.