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Pacific Northwest National Laboratory

National lab advancing energy, security, environment

Lead Software Engineer 4

AI Application Engineering +1Confirmed live in the last 24 hours
Full-time$161.3k - $255k /yr

About the Job

Requirements

  • A PhD and 3 years of software engineering experience, an MS/MA and 5 years, a BS/BA and 7 years, an AA and 16 years, or an HS/GED and 18 years of software engineering experience in designing, architecting, programming, deploying, and automating software solutions supporting scientific research or consumer digital product development.
  • Current hands-on software development experience using Python.

Responsibilities

  • Architect and build next-generation SI systems, spanning agentic SI platforms, petabyte-scale data orchestration, and real-time intelligence processing.
  • Build agentic SI systems with dynamic reasoning, LLM orchestration, MLOps platforms, and multimodal reasoning pipelines.
  • Build scalable infrastructure, including microservices across security enclaves, real-time streaming, petabyte-scale ETL, data lake/mesh architectures, and Kubernetes/CI-CD for classified and edge environments.
  • Build production systems, including secure SI deployments, observability across enclaves, ethical SI compliance, and geospatial/time-series intelligence data fusion.
  • Lead engineers on high-impact ambiguous scope, drive architecture and strategy, build roadmaps from research, and mentor teams.
  • Detect and prevent smuggling of drugs and contraband at ports of entry.
  • Develop large data pipelines to thwart funding for terrorists, nuclear proliferators, drug cartels, and rogue leaders.
  • Apply big data solutions to national security problems.
  • Apply image classification for nuclear forensics analysis.
  • Develop capabilities for scalable geospatial analytics.

Desired Qualifications

  • Actively use Python for the previous five years.
  • Have expert-level Python experience architecting production frameworks, libraries, and large multi-language codebases at scale.
  • Have enterprise ETL/data platform leadership designing petabyte-scale ETL/ELT pipelines, orchestration, and data lakehouse architectures.
  • Have advanced cloud architecture experience with multi-cloud strategy across AWS, Azure, or GCP, Kubernetes, and Infrastructure as Code at enterprise scale.
  • Have prior experience within a Federally Funded Research and Development Center or Department of Energy national laboratory.
  • Have national security or intelligence experience supporting government, defense, or intelligence programs, including classified and compliance-driven environments.
  • Have production agentic SI or advanced LLM experience deploying autonomous agent systems, RAG, and fine-tuned models in operational environments.
  • Have experience deploying and optimizing distributed machine-learning workloads on Ray, Spark, or Kubernetes clusters.
  • Have proven experience leading engineering teams through ambiguous, high-impact scope.

About the Company

Pacific Northwest National Laboratory

National lab advancing energy, security, environment

Pacific Northwest National Laboratory (PNNL) conducts scientific research in chemistry, Earth sciences, biology, and data science to advance energy resiliency and national security. Its work spans designing and running experiments, developing models and simulations, and analyzing large data sets to generate knowledge and practical tools that help improve energy systems, environmental stewardship, and security. PNNL differentiates itself through its interdisciplinary approach across multiple scientific domains and its role as a government-funded national lab focused on real-world challenges, enabling collaborations with industry, academia, and government partners. Its goal is to produce actionable scientific insights and deployable technologies that strengthen national resilience and energy infrastructure.

Company size
1,001-5,000
Company stage
Not listed
Total funding
Not listed
Headquarters
Richland, WA
Founded
1965

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