Senior Software Engineer III

Senior Software Engineer

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.

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.

We are seeking a Senior Software Engineer to join PNNL's advanced AI engineering team and help build next-generation systems across agentic AI platforms, large-scale data orchestration, and real-time intelligence processing. You'll design scalable, mission-critical solutions while mentoring others and shaping technical direction.

An accomplished engineer with strong foundations in scalable system design, AI/ML development, and production software. You're ready to lead complex system components, mentor junior engineers, and turn technical requirements into working solutions.

AI Systems: Agentic AI, LLM orchestration (LangChain, LlamaIndex), MLOps pipelines, and multi-modal data integration

Scalable Infrastructure: Microservices, real-time streaming, large scale ETL pipelines, and Kubernetes deployments

Production Systems: Monitoring/observability, secure & edge deployments, geospatial and time-series processing

Technical Leadership: Lead project components, mentor staff, drive design decisions, and support proposals

Engineering: Strong Python plus one other language (.NET/C#, Go, C++, Rust); solid CS fundamentals (object-oriented design, design patterns, data structures, algorithms, and clean code practices), Git, testing (TDD), CI/CD, and AI-assisted development tools (Copilot, Claude, Cursor)

AI/ML: Understanding of the ML lifecycle, model serving, and production integration via APIs

Cloud Native: Hands-on experience with AWS/Azure/GCP, Docker/Kubernetes, event-driven & microservice architectures, API design (REST, GraphQL, gRPC), and SQL/NoSQL databases

Data Engineering: ETL/ELT pipelines, distributed processing (Spark, Kafka, Flink, Ray), cloud storage, and data modeling at scale

Collaboration: Strong communication and engagement with cross-functional teams, Agile experience, mentorship, and pragmatic delivery

This position is based in Richland, WA or Seattle, WA and requires onsite presence Monday through Thursday, with Friday as needed based on business needs.

Minimum Qualifications:

• PhD and 1 year of Software Engineering experience -OR-
• MS/MA and 3 years of Software Engineering experience -OR-
• BS/BA and 5 years of Software Engineering experience -OR-
• AA and 14 years of Software Engineering experience in designing, architecting, programming, deploying, and automating software solutions in support of scientific research or consumer digital product development -OR-
• HS/GED and 16 years of Software Engineering experience in designing, architecting, programming, deploying, and automating software solutions in support of scientific research or consumer digital product development.
• Current, hands-on software development experience using Python.

Preferred Qualifications:

• Actively using Python and have been doing so for the previous three years
• Advanced Python expertise: Building production-grade applications, libraries, or frameworks at scale
• ETL/data pipeline experience: Designing and optimizing large-scale ETL/ELT workflows using cloud-native tools (AWS Glue, Azure Data Factory, Step Functions) and distributed frameworks (Spark, Kafka)
• Deep cloud platform experience: Production deployments on AWS, Azure, or GCP, with multi-cloud and Kubernetes orchestration highly valued
• FFRDC or national laboratory experience: Prior work within a Federally Funded Research and Development Center or DOE national lab environment
• National security / mission-driven experience: Supporting government, defense, or national security programs, including familiarity with secure and compliance-driven environments
• Agentic AI / LLM experience: Hands-on work with LLM orchestration, RAG, or autonomous agent frameworks
• MLOps maturity: Experience operationalizing ML models with experiment tracking, versioning, and monitoring in production

This position requires the ability to obtain and maintain a federal security clearance.

A security clearance background investigation includes review of your employment, education, financial, and criminal history, as well as interviews with you and your personal references, neighbors, and co-workers to determine trustworthiness, reliability, and loyalty to the United States. The investigation also examines your foreign connections, drug and alcohol use, foreign influence, and overall conduct.

Requirements:

• U.S. Citizenship
• Background Investigation: Applicants selected will be subject to a Federal background investigation and must meet eligibility requirements for access to classified matter in accordance with 10 CFR 710, Appendix B.
• Drug Testing: All Security Clearance positions are Testing Designated Positions, which means that the applicant selected for hire is subject to pre-employment drug testing, and post-employment random drug testing. In addition, applicants must be able to demonstrate non-use of illegal drugs, including marijuana, for the 12 consecutive months preceding completion of the requisite Questionnaire for National Security Positions (QNSP).

Note: Applicants will be considered ineligible for security clearance processing by the U.S. Department of Energy if non-use of illegal drugs, including marijuana, for 12 months cannot be demonstrated.

This position is a Testing Designated Position (TDP). The candidate selected for this position will be subject to pre-employment and random drug testing for illegal drugs, including marijuana, consistent with the Controlled Substances Act and the PNNL Workplace Substance Abuse Program.

Pacific Northwest National Laboratory (PNNL) is a world-class research institution powered by a highly educated, diverse workforce committed to the values of Integrity, Creativity, Collaboration, Impact, and Courage. Every year, scores of dynamic, driven people come to PNNL to work with renowned researchers on meaningful science, innovations and outcomes for the U.S. Department of Energy and other sponsors; here is your chance to be one of them!

At PNNL, you will find an exciting research environment and excellent benefits including health insurance, and flexible work schedules. PNNL is located in eastern Washington State—the dry side of Washington known for its stellar outdoor recreation and affordable cost of living. The Lab's campus is only a 45-minute flight (or ~3 hour drive) from Seattle or Portland, and is serviced by the convenient PSC airport, connected to 8 major hubs.

Pacific Northwest National Laboratory (PNNL) is an Equal Opportunity Employer. PNNL considers all applicants for employment without regard to race, religion, color, sex, national origin, age, disability, genetic information (including family medical history), protected veteran status, and any other status or characteristic protected by federal, state, and/or local laws.

We are committed to providing reasonable accommodations for individuals with disabilities and disabled veterans in our job application procedures and in employment. If you need assistance or an accommodation due to a disability, contact us at View email address on click.appcast.io.

PNNL is committed to a drug-free workplace supported by Workplace Substance Abuse Program (WSAP) and complies with federal laws prohibiting the possession and use of illegal drugs.

If you are offered employment at PNNL, you must pass a drug test prior to commencing employment. PNNL complies with federal law regarding illegal drug use. Under federal law, marijuana remains an illegal drug. If you test positive for any illegal controlled substance, including marijuana, your offer of employment will be withdrawn.

As a national laboratory, PNNL is responsible for adhering to the Homeland Security Presidential Directive 12 (HSPD-12) and Department of Energy (DOE) Order 473.1A, which require new employees to obtain and maintain a HSPD-12 Personal Identify Verification (PIV) Credential. To obtain this credential, new employees must successfully complete the applicable tier of federal background investigation post hire and receive a favorable federal adjudication. The tier of federal background investigation will be determined by job duties and national security or public trust responsibilities associated with the job. All tiers of investigation include a declaration of illegal drug activities, including use, supply, possession, or manufacture within the last 1 to 7 years (depending on the applicable tier of investigation). Illegal drug activities include marijuana