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Software Engineer II – Backend (Richland, WA)
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Pacific Northwest National Laboratory
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Richland, WA
DescriptionAt 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, Earth and Biological Sciences, Physical and Computational 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 the National Security Directorate, 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.


Responsibilities

SOLVING THE HARDEST PROBLEMS IN NATIONAL SECURITY

Protecting U.S. residents and visitors requires sophisticated technological solutions to counter increasingly complex, AI-enabled threats. As adversaries deploy autonomous systems, coordinate multi-domain operations, and leverage advanced AI capabilities, our capabilities must evolve to match this complexity. The PNNL national security mission employs our expert engineering talent—self-driven innovators who thrive in ambiguity—to architect and deliver next-generation AI systems, multi-intelligence fusion platforms, and large-scale analytics capabilities that form the backbone of our nation's security infrastructure.



THE CHALLENGE IS REAL. THE PROBLEMS ARE HARD. THE IMPACT IS IMMEDIATE

You'll tackle problems that don't exist elsewhere, from detecting and preventing smuggling of drugs and contraband to correlating petabytes of multi-modal intelligence data to solve National Security Problems. Every system, every algorithm, and every deployment you support directly strengthens our nation's security posture. This work demands relentless drive—the kind of engineer who sees obstacles as puzzles to solve and treats mission success as personal responsibility.



PNNL is at the forefront of advanced AI engineering, driving innovation in areas like real-time multi-intelligence processing, petabyte-scale data management, and next-generation AI architectures for national security applications. We are seeking a motivated Software Engineer to join our dynamic team and contribute to cutting-edge projects that shape the future of critical technology. In this role, you'll work alongside experienced engineers to design, build, and optimize scalable systems for processing multi-modal intelligence data at a remarkable scale and speed. This is a unique opportunity to grow your skills in AI/ML engineering, data orchestration, and system architecture while delivering impactful solutions in a fast-paced environment where agility and reliability are key.



APPLYING YOUR ENGINEERING EXPERTISE TO CHALLENGES IMPACTING NATIONAL SECURITY

As a Software Engineer on PNNL's Software Engineering and Architectures (SEA) team, you'll contribute to mission-critical AI systems, help build enterprise-scale data platforms, and gain hands-on experience with some of the nation's most sophisticated intelligence and security applications. You'll receive mentorship from senior engineers, collaborate with research scientists, and see your code deployed in production systems that serve national security missions.



What You'll Build & Learn:

AI Systems Development – Contribute to agentic AI implementations, work with LLM integrations, learn MLOps best practices on real-world applications
Intelligence Platform Development – Build components for multi-INT fusion systems, develop GEOINT processing tools, contribute to threat analysis platforms
Data Engineering – Develop data pipelines, build analytics workflows, contribute to cloud-native data architectures
Professional Growth – Receive mentorship from senior engineers, participate in code reviews, learn enterprise software development practices
Technical Skills (We'll Help You Grow):

Programming Foundation – Solid Python skills, experience with one additional language (C#/.Net, JavaScript, Java, or similar)
Platform Experience – Basic cloud experience (AWS, Azure, or GCP), familiarity with Linux environments
Development Practices – Understanding of version control (Git), exposure to CI/CD, basic Agile/Scrum experience
Data & Databases – Experience with SQL, basic understanding of data processing concepts
Eagerness to Learn – Interest in AI/ML technologies, geospatial systems, large-scale data processing
What We Offer:

Accelerated Learning – Work with cutting-edge AI and data technologies while receiving guidance from industry experts
Meaningful Impact – See your contributions deployed in systems that protect national security
Career Growth – Clear advancement path with mentorship and technical skill development opportunities
Cutting-Edge Technology – Hands-on experience with the latest AI, cloud, and data engineering technologies
National Interest Project Examples:

Detect and prevent smuggling of drugs and contraband at ports of entry [Link]
Develop large data pipelines to thwart funding for terrorists, nuclear proliferators, drug cartels, and rogue leaders [Link]
Applying big data solutions to national security problems [Link]
Applying image classification for nuclear forensics analysis [Link]
Develop capabilities for scalable geospatial analytics [Link]
Use remotely sensed imagery to identify and monitor the progression of wildfires [Link]
Analyze the resiliency of the electric power grid to prevent large-scale outages [Link]
Optimize building efficiency using IOT and ICS data with automated demand-response markets [Link]
Model climate change and impacts to civilization [Link]
Hunt for the existence of dark matter to understand the nature of the universe [Link]


This position is based in Richland, WA and requires an onsite presence Monday though Thursday, with Friday as required by business needs.
RequirementsQualifications Minimum Qualifications: PhD -OR- MS/MA -OR- BS/BA and 2 years of relevant experience Preferred Qualifications: Degree in computer science, software engineering, or related field 2+ years of experience in designing or deploying large-scale and high-performance ETL pipelines and analytics 2+ years Python or other software development experience Understanding of software engineering and data management best practices Understanding of cloud architecture and implementation Familiar with machine learning algorithms with experience in machine learning pipeline development Active Federal Q Clearance and ability to maintain such clearance Hazardous Working Conditions/Environment Not applicable. Additional Information 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. Testing Designated Position 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.
Company DescriptionAbout PNNL 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.
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Event Type
Job Posting
TimeMonday, 17 November 20254:38pm - 4:38pm CST
LocationHall 6
Countries
United States of America
Companies
Pacific Northwest National Laboratory
In-Person / Remotes
In-person
Part Time / Full Times
Full Time
Position Types
Permanent