Lead Software Engineer IV

Pacific Northwest National Laboratory
Richland, United States of America
yesterday

Role details

Contract type
Temporary contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Senior
Compensation
$ 161K

Job location

Richland, United States of America

Tech stack

Adobe Analytics
.NET
Artificial Intelligence
Airflow
Amazon Web Services (AWS)
Azure
Big Data
C Sharp (Programming Language)
C++
Cloud Computing
Cloud Engineering
Computer Programming
Continuous Integration
Data Infrastructure
ETL
Distributed Systems
Data Intelligence
Python
Machine Learning
NoSQL
RabbitMQ
TensorFlow
Software Engineering
Software Systems
SQL Databases
Data Streaming
Parquet
PyTorch
Large Language Models
Spark
Multi-Cloud
Event Driven Architecture
Data Lake
Kubernetes
Apache Flink
Deployment Automation
Data Analytics
Kafka
Codebase
GraphQL
Machine Learning Operations
Virtual Agents
Api Design
REST
gRPC
Data Pipelines
Docker
Go
Microservices

Job description

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., * 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) ]

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.

Requirements

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., * 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).

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.

Benefits & conditions

PNNL lists the full pay range for the position in the job posting. Starting pay is calculated from the minimum of the pay range and actual placement in the range is determined based on an individual's relevant job-related skills, qualifications, and experience. This approach is applicable to all positions, with the exception of positions governed by collective bargaining agreements and certain limited-term positions which have specific pay rules.

As part of our commitment to fair compensation practices, we do not ask for or consider current or past salaries in making compensation offers at hire. Instead, our compensation offers are determined by the specific requirements of the position, prevailing market trends, applicable collective bargaining agreements, pay equity for the position type, and individual qualifications and skills relevant to the performance of the position.

Minimum Salary

USD $161,300.00/Yr.

Maximum Salary

USD $255,000.00/Yr.

About the company

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, 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 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., 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., Please be aware that the Department of Energy (DOE) prohibits DOE employees and contractors from having any affiliation with the foreign government of a country DOE has identified as a "country of risk" without explicit approval by DOE and Battelle. If you are offered a position at PNNL and currently have any affiliation with the government of one of these countries, you will be required to disclose this information and recuse yourself of that affiliation or receive approval from DOE and Battelle prior to your first day of employment.

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