Lead Software Engineer IV

Overview

Responsibilities

We are seeking an exceptional Lead Software Engineer to architect and build next-generation SI systems at PNNL, spanning agentic SI 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 SI/ML engineering, requiring both strategic vision and tactical excellence.

Who You Are:

An experienced engineer who bridges infrastructure, SI/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:

• SI-Native Systems: Agentic SI 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 SI deployments, observability across enclaves, ethical SI 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
• SI/ML Architecture: Production agentic SI 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 SI 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]
• 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]

Read more about the AI & Data Analytics division:

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 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 SI / 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.

“Referral Eligible”

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.

About 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.

Commitment to Excellence and Equal Employment Opportunity

Our laboratory is committed to fostering a work environment where all individuals are treated with fairness and respect while solving critical challenges in fundamental sciences, national security, and energy resiliency. We are an Equal Employment Opportunity employer.

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.

Drug Free Workplace

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.

Security, Credentialing, and Eligibility Requirements

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 and cannabis derivatives, which are still considered illegal under federal law, regardless of state laws.

For foreign national candidates:

If you have not resided in the U.S. for three consecutive years, you are not eligible for the PIV credential and instead will need to obtain a favorable Local Site Specific Only (LSSO) Federal risk determination to maintain employment. Once you meet the three-year residency requirement thereafter, you will be required to obtain a PIV credential to maintain employment. The tier of federal background investigation required to obtain the PIV credential will be determined by job duties at the time you become eligible for the PIV credential.

Mandatory Requirements

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.

Rockstar Rewards

Employees and their families are offered medical insurance, dental insurance, vision insurance, robust telehealth care options, several mental health benefits, free wellness coaching, health savings account, flexible spending accounts, basic life insurance, disability insurance*, employee assistance program, business travel insurance, tuition assistance, relocation, backup childcare, legal benefits, supplemental parental bonding leave, surrogacy and adoption assistance, and fertility support. Employees are automatically enrolled in our company-funded pension plan* and may enroll in our 401 (k) savings plan with company match*. Employees may accrue up to 120 vacation hours per year and may receive ten paid holidays per year.

* Research Associates excluded.

**All benefits are dependent upon eligibility.

Click Here For Rockstar Rewards

Notice to Applicants

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.

We are seeking an exceptional Lead Software Engineer to architect and build next-generation SI systems at PNNL, spanning agentic SI 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 SI/ML engineering, requiring both strategic vision and tactical excellence.

Who You Are:

An experienced engineer who bridges infrastructure, SI/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:

• SI-Native Systems: Agentic SI 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 SI deployments, observability across enclaves, ethical SI 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
• SI/ML Architecture: Production agentic SI 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 SI 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]
• 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]

Read more about the AI & Data Analytics division:

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.

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 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 SI / 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