Hiring Event - Chief Software Engineer V

About the role

Great minds meet great challenges. Ready to build what’s next? At PNNL, our core capabilities are divided among major departments that we refer to as Directorates within the Lab, focused on a specific area of scientific research or other function, with its own leadership team and dedicated budget. Our Science & Technology directorates include National Security, Integrated Discovery Sciences, and Energy and Environment. In addition, we have an Environmental Molecular Sciences Laboratory, a Department of Energy, Office of Science user facility housed on the PNNL campus. The National Security Directorate (NSD) drives science-based, mission-focused solutions to take on complex, real-world threats to our nation and the world. The AI and Data Analytics Division, part of NSD, combines profound domain expertise and creative integration of advanced hardware and software to deliver computational solutions that address complex data and analytic challenges. Working in multidisciplinary teams, we connect foundational research to engineering to operations, providing the tools to innovate quickly and field results faster. Our strengths are integrated across the data analytics lifecycle, from data acquisition and management to analysis and decision support.

Our hiring event will take place during the weeks of October 12th to November 13th. Selected candidates may be invited to participate in virtual and onsite interviews during this timeframe and will be contacted directly with scheduling details.

Schedule

This role is performed full-time onsite at the PNNL campus in Richland, WA or Seattle, WA.

Responsibilities

• Advance cutting-edge research and build solutions for critical national security missions.
• Join a team of more than 400 data scientists, software engineers, mathematicians, and human-centered computing researchers turning ambitious ideas into real-world capabilities.
• Work across two complementary chief engineering tracks, owning something meaningful end-to-end: from the platform beneath it, to the systems that power it, to the experience humans actually touch.

Skills

• DevSecOps and Platform Engineering: Design and build scalable AI platforms, cloud-native infrastructure, containerized environments (Docker/Kubernetes), CI/CD pipelines, IaC, real-time data stream architectures, and reliable, secure production systems. Particularly interested in engineers with strong Python expertise and significant experience in DevOps, platform engineering, site reliability engineering, distributed systems, telemetry and observability, security, and automated software delivery.
• AI Systems & Data Platform Software Engineers: Push the boundaries of agentic AI systems characterized by autonomy, adaptability, reasoning, collaboration, and effective tool use. Seeking experienced software engineers and nationally recognized technical leaders who have designed and deployed agentic AI systems and large-scale data platforms in real-world environments. Relevant expertise includes large language models, retrieval-augmented generation, multi-step reasoning, autonomous decision workflows, model and data orchest