Senior Software Engineer, AI & Data Analytics

Pacific Northwest National Laboratory; Richland (WA); On-site; USD 133,000 - 210,000; Full time

Benefits offered by this job

Medical insurance

Dental insurance

Vision insurance

Tuition assistance

Job summary

Pacific Northwest National Laboratory in Richland/Seattle seeks a Senior Software Engineer to build agentic SI platforms, scalable data orchestration, and real-time intelligence processing. You will mentor others, shape technical direction, and deliver production-grade solutions.

Applicants bring strong Python and multiple language skills, plus experience with cloud-native systems, microservices, and distributed data pipelines. Onsite work is expected in WA.

Qualifications

• PhD or MS with years of software engineering experience as described in the ad.
• Hands-on Python development with strong CS fundamentals.
• Experience delivering scalable, production-grade systems.

Responsibilities

• Design scalable, mission-critical software systems for SI platforms.
• Mentor junior engineers and lead project components.
• Advance real-time data orchestration and cloud-native architectures.

Skills

Python

C++

Go

C#

Rust

Git

CI/CD

SI/ML development

AWS/Azure/GCP

Microservices

Kubernetes

ETL pipelines

Data modeling

Education

PhD and 1 year software engineering experience

MS/MA and 3 years software engineering experience

BS/BA and 5 years software engineering experience

AA and 14 years software engineering experience

HS/GED and 16 years software engineering experience

Tools

Copilot

Claude

Cursor

Docker

Kubernetes

Spark

Kafka

Job description

Pacific Northwest National Laboratory in Richland/Seattle seeks a Senior Software Engineer to build agentic SI platforms, scalable data orchestration, and real-time intelligence processing. You will mentor others, shape technical direction, and deliver production-grade solutions.

Applicants bring strong Python and multiple language skills, plus experience with cloud-native systems, microservices, and distributed data pipelines. Onsite work is expected in WA.