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, 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.
Responsibilities
We are seeking a Software Test Engineer to join PNNL's TestOps team, helping assure the quality, reliability, and performance of innovative systems spanning agentic AI platforms, large-scale data orchestration, and real-time intelligence processing. This is an excellent opportunity for mid-career test engineers to apply modern QA and full-stack test engineering practices to mission-critical national security applications, strengthening expertise in end-to-end system validation across APIs, data pipelines, and production-like environments.
Who You Are
You're a motivated test engineer with experience developing test strategies and test artifacts (test plans, test cases, and test reports) and building/maintaining test automation, with strong fundamentals in software engineering and QA best practices. You're comfortable partnering across the full development lifecycle to translate requirements into measurable acceptance criteria and comprehensive test coverage. You're detail-oriented and analytical, with strong debugging skills, and you communicate clearly with both technical and non-technical stakeholders.
What You'll Do
Test Strategy, Planning, and Coverage
Design, develop, document, execute, and debug test strategies for new and existing software systems, applications, and hardware/software interfaces, applying QA best practices
Collaborate with cross-functional teams across the full development lifecycle to analyze user needs and requirements; translate requirements into test plans, test cases, traceability, and acceptance criteria
Ensure comprehensive functional, integration, system, regression, and performance coverage using risk-based approaches and clear release criteria
Produce high-quality test reports and quality summaries that communicate coverage, results, and risk
Test Automation, Manual Validation, and CI/CD
Build and maintain automated and manual test solutions across API, UI, integration, end-to-end, and regression layers
Implement automated tests using Cypress.io, Playwright, or similar frameworks; reduce flakiness and improve reliability
Integrate test tooling and automated tests into CI/CD pipelines (e.g., GitLab or GitHub), including reporting and quality gates
Validate end-to-end workflows and integrations across APIs, databases, pipelines, and services using SQL and/or GraphQL where appropriate
AI/ML and Data-Intensive System Validation
Validate models, data, and end-to-end workflows using data/model validation plus integration, E2E, and regression testing, including handling non-deterministic outputs
Assess AI quality attributes such as accuracy, precision/recall, relevance, bias/fairness, robustness/consistency, and verify guardrails/safety/explainability expectations
Evaluate data quality signals including completeness, correctness, representativeness, drift, and label quality
Partner with engineers to define and automate AI evaluation and regression approaches that fit mission needs
Work with AI agents/skills and MCP servers to support test automation workflows and system validation
Platform, Cloud, and Reliability Readiness
Contribute to quality practices for cloud and containerized deployments by applying a general understanding of cloud concepts (e.g., AWS/Azure services) and common container tooling (e.g., Docker/Podman and Kubernetes fundamentals)
Use observability (logs/metrics/traces) to debug failures, validate monitoring, and improve system testability
Support performance testing and reliability validation (latency, scalability, stability) for mission-critical services
Stakeholder Partnership and Continuous Improvement
Partner with end users and stakeholders to proto@type, configure, refine, verify, and troubleshoot systems to meet intended use
Identify and evaluate new testing tools, technologies, and methods to improve quality, reliability, and test efficiency through continuous improvement
Collaboration & Professional Growth
Collaborate effectively with software engineers, DevOps/platform teams, data scientists, and stakeholders across the full development and release lifecycle
Communicate clearly in writing and verbally by documenting test plans, test results, defects; articulate technical risks and quality status in team discussions
Participate actively in code reviews, test strategy/design discussions, and continuous improvement efforts, with openness to constructive feedback and a willingness to learn best practices
Incorporate feedback from defects and incidents to improve test coverage, automation reliability, and overall system quality through peer collaboration, self-study, and hands-on learning
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) ]
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 -OR-
MS/MA -OR-
BS/BA and 2 years of relevant experience
Preferred Qualifications:
Degree in Computer Science, Software Engineering, or a related field
Experience implementing automated tests using Cypress.io, Playwright, or similar testing frameworks
Experience using AI-assisted development tools within an IDE, such as VS Code, to write automated tests and troubleshoot issues
Experience in JavaScript and Python programming languages
Knowledgeable in using SQL or GraphQL
Experience developing software test plans, test cases, and test reports
Knowledge of software engineering best practices and software development lifecycles
Experience with DevOps and MLOps, including automated tests within CI/CD processes such GitLab or GitHub
1+ years of experience using AI tools (i.e. Cline, Roo Code, etc.) within an IDE to write automated tests and/or troubleshoot issues
Familiarity with AI models such as Claude, Co-Pilot. Knowledgeable in using MCP servers, AI skills, and AI agents
Experience in validating models, data, and end-to-end workflows/integrations (APIs, databases, pipelines) using data/model validation plus integration, E2E, and regression testing, including handling non-deterministic outputs and real-world/edge/failure scenarios
Experience in assessing AI quality attributes (accuracy, precision/recall, relevance, bias/fairness, robustness/consistency), data quality (completeness, correctness, representativeness, drift, label quality), plus safety/explain ability/guardrails and performance (latency, scalability, reliability)
Experience with cloud computing (AWS/Azure)
Familiar with containerization using Docker/Podman/Kubernetes
Strong analytical and troubleshooting skills with attention to detail
Hazardous Working Conditions/Environment
Not applicable.
Additional Information
This position requires the ability to obtain and maintain a federal security clearance (Q/SCI).
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.
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.
We are committed to providing reasonable accommodations for individuals with disabilities and disabled veterans in our job application procedures and in employment. If you need assistance or an accommodation due to a disability, contact us at careers@pnnl.gov .
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 (https://careers.pnnl.gov/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 $109,000.00/Yr.
Maximum Salary
USD $163,600.00/Yr.
