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# Lead Software Engineer

- **Company:** Pacific Northwest National Laboratory
- **Location:** Richland, WA, United States
- **Experience:** Expert
- **Salary:** $161,300.0
- **Contract:** Temporary contract
- **Skills:** LangGraph Framework, Adobe Analytics, .NET Framework, Artificial Intelligence, Airflow, Amazon Web Services, Computer Vision, Microsoft Azure, Big Data, C Sharp (Programming Language), C++ (Programming Language), Cloud Computing, Cloud Engineering, Computer Programming, Continuous Integration, Data Infrastructure, Extract Transform Load (ETL), Decision Support Systems, Distributed Systems, Data Intelligence, Python (Programming Language), Machine Learning, NoSQL, RabbitMQ, Tensorflow, Software Engineering, Software Systems, SQL Databases, Data Streaming, Parquet, Pytorch, LangChain, Retrieval-Augmented Generation, Transfer Learning, Large Language Models, Apache Spark, Multi-Cloud, Llamaindex, Agentic-AI, Event Driven Architecture, Data Lakes, Kubernetes, Apache Flink, Deployment Automation, Data Analytics, Apache Kafka, Codebase, Graphql, Machine Learning Operations, Hardware Infrastructure, Api Design, Restful APIs, Grpc, Data Pipelines, Docker, Golang, Microservices
- **Published:** October 16, 2026
- **Apply:** https://www.juju.com/job/1_pnnl2-11827

## About the Role

**Read more about the AI & Data Analytics division:** https://www.pnnl.gov/ai-and-data-analytics **This position is based in Richland, WA or Seattle, WA and requires an onsite presence Monday through Thursday, with Friday as required by business needs.** **Qualifications** Minimum Qualifications: + PhD and 3 years of Software Engineering experience -OR- + MS/MA and 5 years of Software Engineering experience -OR- + BS/BA and 7 years of Software Engineering experience -OR- + AA 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 -OR- + HS/GED and 18 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 five years + Expert-level Python: Architecting production frameworks, libraries, and large multi-language codebases at scale + Enterprise ETL/data platform leadership: Designing petabyte-scale ETL/ELT pipelines, orchestration (Airflow, Prefect, Step Functions), and data lakehouse architectures + Advanced cloud architecture: Multi-cloud strategy across AWS, Azure, or GCP with Kubernetes and Infrastructure as Code at enterprise scale + FFRDC or national laboratory experience: Prior work within a Federally Funded Research and Development Center or DOE national lab environment + National security / intelligence experience: Supporting government, defense, or intelligence programs, including classified and compliance-driven environments + Production agentic AI / advanced LLM experience: Deploying autonomous agent systems, RAG, and fine-tuned models in operational environments

 + Distributed ML at scale: Deploying and optimizing ML workloads on Ray, Spark, or Kubernetes clusters + Technical team leadership: Proven experience leading engineering teams through ambiguous, high-impact scope **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).

## Description

**Overview** 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 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** We are seeking an exceptional **Lead Software Engineer** to architect and build next-generation AI systems at PNNL, spanning agentic AI platforms, petabyte-scale data orchestration, and real-time intelligence processing that define the future of national security technology.
This role blends deep technical leadership with hands-on AI/ML engineering, requiring both strategic vision and tactical excellence. **Who You Are** An experienced engineer who bridges infrastructure, AI/ML, and production software.
You've built highly scalable systems from scratch, led initiatives that matter, and turned complex problems into solutions.
You're as comfortable architecting distributed systems processing terabytes per hour as you are fine-tuning LLMs.
You bring startup agility to mission-critical work. **What You'll Build** + AI-Native Systems: Agentic AI with dynamic reasoning, LLM orchestration (LangChain, LlamaIndex, LangGraph), MLOps platforms, and multi-modal reasoning pipelines + Scalable Infrastructure: Microservices across security enclaves, real-time streaming (TB/hour), petabyte-scale ETL, data lake/mesh architectures, and Kubernetes/CI-CD for classified & edge environments + Production Systems: Secure AI deployments, observability across enclaves, ethical AI compliance, and geospatial/time-series intelligence data fusion + Technical Leadership: Lead engineers on high-impact ambiguous scope, drive architecture and strategy, build roadmaps from cutting-edge research, and mentor teams **What You Bring** + Engineering Leadership: Expert Python + another language (C#/.NET, Go, C++); proven track record establishing best practices, advanced CI/CD, and architecting distributed systems + AI/ML Architecture: Production agentic
AI experience; deep expertise with PyTorch/TensorFlow/JAX and LLM orchestration; advanced LLM optimization (LoRA/PEFT, RAG, fine-tuning); end-to-end ML platform design + Cloud & Distributed Systems: Enterprise-scale architecture across AWS/Azure/GCP; Docker/Kubernetes/IaC; event-driven systems (Kafka, RabbitMQ); API design mastery (REST, GraphQL, gRPC); polyglot persistence (SQL/NoSQL/warehouses) + Data Platform Engineering: Cloud-native pipelines & orchestration (Airflow, Prefect); data lakehouse architectures; distributed computing (Spark, Flink, Ray); petabyte-scale optimization and modern data formats (Parquet, Iceberg, Delta) + Leadership & Communication: Mentoring teams, articulating strategy to executives & stakeholders, balancing delivery with technical excellence, and driving cross-functional collaboration **What Makes This Role Unique** You will work at the intersection of cutting-edge AI research and production engineering, building platforms that process the nation's
most sensitive intelligence data while mentoring teams and shaping technical strategy.
Startup agility on problems of national importance. **National Interest Project Examples** + Detect and prevent smuggling of drugs and contraband at ports of entry [Link (https://www.pnnl.gov/sites/default/files/media/file/NII%20Capabilities%20072621\_0.pdf) ] + Develop large data pipelines to thwart funding for terrorists, nuclear proliferators, drug cartels, and rogue leaders [Link (https://www.pnnl.gov/sites/default/files/media/file/PNNL\_Treasury\_AWS%20collab%201121.pdf) ] + Applying big data solutions to national security problems [Link (https://www.pnnl.gov/news-media/science-front-line-ralph-perko) ] + Applying image classification for nuclear forensics analysis [Link (https://www.pnnl.gov/sites/default/files/media/file/NSD\_1259\_FLYER\_SharkzorHighlights\_FINAL\_0.pdf) ] + Develop capabilities for scalable geospatial analytics [Link (https://www.pnnl.gov/sites/default/files/media/file/GeoBOSS%20Open-Source%20Geospatial%20Analytics%20at%20Scale.pdf) ]