Manager Unity Software Developer Jobs in Kennewick, WA

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 Senior Software Test Engineer to join PNNL's TestOps team, leading quality engineering efforts that assure the reliability, performance, and mission readiness of innovative systems spanning agentic AI platforms, large-scale data orchestration, and real-time intelligence processing. This is an excellent opportunity for experienced test engineers to lead test strategy and execution across teams, mature automated quality practices, and drive end-to-end system validation across APIs, data pipelines, and production-like environments supporting mission-critical national security applications.
Who You Are
You're a senior test engineer with 5+ years of experience developing and owning test strategies, test artifacts (test plans, test cases, and test reports), and building/maintaining scalable test automation. You routinely lead cross-functional quality efforts, translate ambiguous requirements into measurable acceptance criteria, and use risk-based approaches to define release readiness. You're known for strong debugging and systems thinking, and you communicate clearly with both technical and non-technical stakeholders. You mentor others, raise the bar on engineering quality, and help teams ship confidently.
What You'll Do
Test Strategy, Planning, and Quality Leadership

• Own and lead end-to-end test strategy for programs and/or multiple components, including scope, coverage goals, environments, release criteria, and quality gates
• Partner with engineering, product, and stakeholders to refine requirements into testable acceptance criteria, traceability, and measurable quality outcomes
• Drive risk-based test planning across functional, integration, system, regression, and performance testing; prioritize quality work based on mission impact
• Produce executive-ready quality summaries (coverage, results, trends, residual risk) and recommend go/no-go decisions with clear rationale
• Establish and improve test standards (definitions of done, test naming/structure, flake management, reporting expectations) across the team

Team Leadership, Mentorship, and Execution

• Lead and coordinate testing efforts for a small team or a complex initiative; align work across developers, DevOps/platform teams, and data science partners
• Mentor Level 1-2 engineers in test design, automation patterns, debugging, and quality communication; provide guidance through reviews and pairing
• Champion a culture of quality: shift-left practices, defect prevention, and pragmatic automation that increases delivery speed and confidence
• Influence roadmaps by identifying quality risks early and proposing mitigation plans (technical and process)

Test Automation, CI/CD, and Engineering Excellence

• Architect and maintain automation across API, UI, integration, end-to-end, and regression layers; emphasize reliability and maintainability
• Implement and standardize automated tests using Cypress.io, Playwright, or similar frameworks; drive down flakiness with robust test design and environment controls
• Integrate test tooling into CI/CD pipelines (e.g., GitLab/GitHub) with reporting, metrics, and enforced quality gates
• Validate workflows across APIs, databases, pipelines, and services using SQL and/or GraphQL where appropriate; ensure automation provides actionable diagnostics

AI/ML and Data-Intensive System Validation (Leadership Focus)

• Lead validation approaches for models, data, and end-to-end AI workflows, including strategies for non-deterministic outputs and regression detection
• Define and operationalize AI quality attributes (accuracy, precision/recall, relevance, bias/fairness, robustness/consistency) and verify guardrails/safety/explainability expectations
• Drive data quality validation (completeness, correctness, drift, representativeness, label quality) and incorporate checks into pipelines and release processes
• Partner with engineers/data scientists to design repeatable evaluation harnesses and automated regression approaches aligned to mission needs
• Work with AI agents/skills and MCP servers to support test automation workflows and system validation at scale

Platform, Cloud, and Reliability Readiness

• Lead quality practices for cloud and containerized deployments; apply strong working knowledge of cloud concepts (AWS/Azure) and container tooling (Docker/Podman, Kubernetes fundamentals)
• Use observability (logs/metrics/traces) to debug failures, validate monitoring coverage, and improve testability and operational readiness
• Drive performance and reliability validation (latency, scalability, stability) and ensure results feed back into design decisions and release gates

Stakeholder Partnership and Continuous Improvement

• Serve as a quality leader with end users and stakeholders to prototype, configure, refine, verify, and troubleshoot systems to meet intended use
• Evaluate and introduce new test tools/technologies; build adoption plans and standards that improve quality outcomes and team efficiency
• Establish quality metrics and trend reporting (defect escape rate, test effectiveness, flake rate, automation ROI) and use them to guide improvements

Collaboration & Professional Growth

• Lead technical discussions and reviews around test strategy, design, and implementation; influence architecture for testability
• Communicate complex technical risk clearly-written and verbal-tailored to engineers, leadership, and mission stakeholders
• Incorporate feedback from defects and incidents to drive preventive actions and measurable improvements across teams and releases

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]

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 1 year of Software Engineering experience -OR-
• MS/MA and 3 years of Software Engineering experience -OR-
• BS/BA and 5 years of Software Engineering experience -OR
• AA and 14 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 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

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, 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
• Excellent written and verbal communication skills

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.
"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.
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, includ...