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Verification And Validation Jobs in Washington (NOW HIRING)

Senior Systems Test Engineer

Chantilly, VA · On-site

$108K - $147K/yr

As a member of the Verification, Validation and Transition (VV&T) team you will be responsible for technical support of the planning and execution of enterprise and system-level verification ...

Senior Systems Test Engineer

Chantilly, VA · On-site

$108K - $147K/yr

As a member of the Verification, Validation and Transition (VV&T) team you will be responsible for technical support of the planning and execution of enterprise and system-level verification ...

The QA Analyst will conduct quality assurance reviews of software deliverables, verify compliance with project requirements, and support Independent Verification & Validation (IV&V) activities to ...

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Verification And Validation information

What are the key skills and qualifications needed to thrive in verification and validation?

To excel in Verification and Validation, you typically need a background in engineering or computer science, strong analytical skills, and an understanding of industry standards. Familiarity with test management tools, automation frameworks, and quality assurance methodologies, as well as relevant certifications like ISTQB, is highly valuable. Attention to detail, problem-solving abilities, and strong communication are crucial soft skills for this role. These competencies ensure that products meet requirements, function reliably, and minimize defects before release.

What is the difference between Verification And Validation vs Quality Assurance?

AspectVerification And ValidationQuality Assurance
FocusEnsuring products meet specifications and are fit for purposePreventing defects through process improvements
ActivitiesReviews, testing, validation protocolsProcess audits, standards compliance, process improvements
TimingDuring and after developmentThroughout the development process
CertificationsOften requires technical testing certificationsQuality management system certifications (e.g., ISO 9001)

Verification and Validation focus on confirming that a product meets requirements and is fit for use, primarily through testing and reviews. Quality Assurance emphasizes establishing processes to prevent defects, ensuring consistent quality throughout development. Both are essential but serve different roles in maintaining product quality.

What are some common challenges faced in a verification and validation role, and how can they be addressed?

A common challenge in Verification and Validation roles is keeping up with rapidly changing project requirements and ensuring tests remain relevant and comprehensive. Additionally, V&V professionals often need to collaborate closely with both development and quality assurance teams, which requires strong communication and documentation skills. Addressing these challenges involves adopting agile methodologies, maintaining clear and regular communication channels, and continuously updating test plans and documentation to reflect the latest system changes.

What is verification and validation?

Verification and Validation (V&V) are two key processes used to ensure that a product, system, or software meets its requirements and works as intended. Verification involves checking that the product is built correctly according to specifications, typically through reviews, inspections, and testing during development. Validation, on the other hand, confirms that the final product fulfills its intended purpose and meets the needs of users or stakeholders. Together, V&V help ensure quality, safety, and compliance in various industries such as software, aerospace, and manufacturing.
What are popular job titles related to Verification And Validation jobs in Washington? For Verification And Validation jobs in Washington, the most frequently searched job titles are:
What cities in Washington are hiring for Verification And Validation jobs? Cities in Washington with the most Verification And Validation job openings:
Infographic showing various Verification And Validation job openings in Washington as of August 2026, with employment types broken down into 1% As Needed, 78% Full Time, 17% Part Time, 3% Contract, and 1% Nights. Highlights an 89% Physical, 3% Hybrid, and 8% Remote job distribution.

Verification & Validation Data Scientist

Society for Human Resource Management (SHRM)

Alexandria, VA • On-site

$110K - $135K/yr

Full-time

Medical, Dental, Vision, Retirement

Re-posted 4 days ago


Job description

SHRM is a member-driven catalyst for creating better workplaces where people and businesses thrive together. As the trusted authority on all things work, SHRM is the foremost expert, researcher, advocate, and thought leader on issues and innovations impacting today's evolving workplaces. With nearly 340,000 members in 180 countries, SHRM touches the lives of more than 362 million workers and their families globally.
Summary
This role exists to answer one question independently: do the synthetic-audience and automated systems actually perform as claimed? It is a verification-and-validation function drawn from data science, closer to model validation, ML evaluation, and the independent V&V discipline used in regulated and safety-critical software than to market research. The V&V Data Scientist will design and run the evaluation that benchmarks system output against ground-truth data, owns the accuracy metrics and error bounds, and certifies fitness for use, working independently of the engineer who builds the models. The separation of duties is the point: the builder does not grade their own work.
Responsibilities
  • Design and run the independent validation methodology: benchmark synthetic-audience and automated output against real panel holdout and other ground-truth data.
  • Own the evaluation metrics, test harness design, and reported accuracy bounds; quantify where each system is and is not reliable.
  • Certify fitness for use, translate results into clear "validated for this use / not validated for that use" determinations.
  • Operate independently of the AI/Synthetic Engineer: verify the models and pipelines AI/Synthetic Engineer builds without having built them.
  • Monitor for model and data drift over time; re-validate as models, prompts, and source data change.
  • Maintain the audit trail and evidence base that supports the function's credibility with stakeholders and any external auditor.

Education & Experience Requirements
Education
• Bachelor's degree in computer science, mathematics, or engineering or relevant equivalent experience in lieu of degree. Master's degree preferred.
Experience
  • Seven (7) or more years in data science, model validation, ML evaluation, or an independent V&V / QA function.
  • Demonstrated experience independently validating models or systems against ground-truth data, evaluation design, benchmarking, and error analysis.

Certifications - NA
Knowledge, Skills & Abilities
  • Strong applied statistics and metrics design; fluency in accuracy, bias, calibration, and uncertainty quantification.
  • Working understanding of LLMs and synthetic-respondent systems and their failure modes - enough to test them rigorously.
  • Independence and rigor: the temperament to challenge results and withhold sign-off, including from colleagues' work.
  • Clear communication: able to tell a non-technical executive, with evidence, why a result can or cannot be trusted.
  • Ability to effectively leverage artificial intelligence (AI) tools and technologies to streamline workflows, enhance productivity, and improve overall work quality.
  • Familiarity with survey/behavioral data as a validation target preferred.

Physical Requirements
This position operates in a typical office environment (which includes a home office setting) and requires the ability to perform essential job functions with or without reasonable accommodation. Physical requirements may include:
  • Prolonged periods of sitting at a desk and working on a computer.
  • Frequent use of hands and fingers for typing, handling documents, and using office equipment.
  • Occasional standing, walking, bending, and reaching.
  • Ability to lift and carry up to 30 pounds as needed.
  • Clear verbal and written communication skills for effective interaction with colleagues and stakeholders.

Work Environment
Hybrid Schedule (3 Days In-Office/2 Days Remote)
This position follows a hybrid work schedule, with Tuesday through Thursday in office and Monday and Friday remote. Employees must be available during standard business hours, with core hours beginning between 8:00-9:00 a.m. and concluding between 5:00-6:00 p.m. local time.
Travel: Occasional 0 - 10%
#LI
The hiring range for this position is $110,000 to $135,000 per year. This range is an estimate, and the actual salary may vary based on the candidate's experience, skills, and qualifications. SHRM offers a competitive and comprehensive total rewards package. The benefits for this position include professional growth and development, health, dental, vision, well-being, health savings, flexible spending, retirement, open leave, and annual discretionary bonus and incentives.
Our employment practices are in accordance with the laws that prohibit discrimination against qualified individuals on the basis of race, religion, color, gender, age, national origin, physical or mental disability, genetic information, veteran's status, marital status, gender identity and expression, sexual orientation, or any other status protected by applicable law.
SHRM is an equal opportunity employer (Minority/Female/Disabled/Veteran).
We do not sponsor applicants for work visas.