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Verification Manager Jobs in Seattle, WA (NOW HIRING)

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Verification Manager information

See Seattle, WA salary details

$3.3K

$8K

$10.2K

How much do verification manager jobs pay per month?

As of Aug 13, 2026, the average monthly pay for verification manager in Seattle, WA is $7,988.75, according to ZipRecruiter salary data. Most workers in this role earn between $7,583.33 and $9,100.00 per month, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a verification manager?

To thrive as a Verification Manager, you need a solid background in engineering or computer science, experience in verification methodologies (such as UVM or SystemVerilog), and often a relevant degree. Familiarity with hardware description languages, verification tools (e.g., Cadence, Synopsys), and project management software is typically required. Strong leadership, problem-solving abilities, and effective communication distinguish top candidates in this role. These skills ensure efficient verification processes, high-quality deliverables, and seamless collaboration across technical teams.

What is a verification manager?

Verification Managers are professionals responsible for overseeing the process of ensuring that products, systems, or software meet specified requirements and standards. They lead teams that design and execute tests, troubleshoot issues, and maintain quality assurance protocols. Their role often involves coordinating between engineering, quality, and project management teams to ensure deliverables are accurate and reliable before release. Effective Verification Managers help reduce errors, improve product quality, and ensure compliance with industry regulations.

What is the difference between Verification Manager vs Quality Assurance Manager?

AspectVerification ManagerQuality Assurance Manager
Primary FocusEnsuring products meet specifications through testing and validationOverseeing overall quality processes and standards
CertificationsRelevant technical certifications, e.g., ISTQB, Six SigmaQuality management certifications, e.g., ASQ CQE, Six Sigma
Work EnvironmentTechnical teams, testing labs, development settingsQuality departments, cross-functional teams, management
Industry UsageManufacturing, software, engineeringManufacturing, software, healthcare, and more

While both roles focus on product quality, Verification Managers primarily concentrate on testing and validation to confirm specifications are met, whereas Quality Assurance Managers develop and oversee quality systems to ensure overall standards are maintained across processes.

What are some typical challenges faced by a verification manager and how can they be addressed?

Verification Managers often face challenges such as managing tight project deadlines, ensuring comprehensive test coverage, and coordinating between cross-functional teams. Balancing the quality and speed of verification processes while keeping up with evolving industry standards can also be demanding. To address these challenges, effective project management, clear communication, and implementing automated verification tools can help streamline processes and improve collaboration. Regular training and staying updated with industry best practices are also key to overcoming common obstacles in this role.
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What cities near Seattle, WA are hiring for Verification Manager jobs? Cities near Seattle, WA with the most Verification Manager job openings:
Verification Manager jobs near you

Electrical Design Verification Engineer

Infotech Sourcing

Bellevue, WA • On-site

Full-time

Re-posted 14 days ago

Job description

Job Description: Electrical Design Verification Engineer Onsite in Redmond, WA Role Overview We are seeking a skilled and detail-oriented Electrical Test Engineer to join our HW engineering team for the future of AR/VR products. The successful candidate will be responsible for developing, prototyping, and building test systems as well as analyzing and presenting results. Responsibilities Design and execute the EE validation and performance characterization of test systems throughout a program life cycle. Work closely with test team leads and other key stakeholders to ensure alignment of validation and characterization plans, and execute against EE DVE deliverables and schedules. Provide expert root cause and corrective action support to resolve any and all issues found. Track validation progress, present data, draft whitepapers, and represent status at design reviews. Maintain and update existing systems including software, firmware, and mechanics to improve quality and reliability. Collaborate with cross-functional teams, including mechanical engineers, FW engineers, and research teams, to solve multi-discipline problems. Required Qualifications Bachelor's degree in Electrical Engineering, Physics or a related field. 4+ years of experience in Electrical engineering, preferably in a hardware testing environment. Strong programming skills in languages such as Python, R, or SQL Demonstrated experience with Matlab or similar. Experience with data visualization tools such as JMP, Tableau, Reliasoft, Power BI, or D3.js. Experience with setup and execution of automated or manual testing systems including experience in conceptualizing the experiments or DOE Strong electrical engineering fundamentals. Excellent analytical and problem-solving skills. Strong communication and collaboration skills. Experience troubleshooting designs and the instrumentation impact on measurement. Experience with schematic and board design using Cadence Orcad, Altium or equivalent. Experience with use of standard electrical engineering tools such as oscilloscopes, high speed digital test equipment, logic analyzers, spectrum analyzers and function generators Technical breadth in at least two consumer electronic domains such as, power electronics, signal integrity, battery management, RF, Audio, sensors systems Ability to work in a fast-paced environment and meet deadlines. Knowledge of statistical modeling techniques, including regression, hypothesis testing, and confidence intervals. Develop and apply statistical models using techniques such as regression, hypothesis testing, and confidence intervals.. Preferred Qualifications Master's degree in Electrical Engineering, Physics or a related field. Experience with machine learning algorithms and techniques. Experience with mechanical test systems and concepts Familiarity with cloud-based data platforms such as AWS or Azure. Experience defining and coordinating test procedures in a lab and factory environment to facilitate system bring-up and evaluation Familiarity with VR/AR systems or wearable low-power or portable electronic devices. Education Bachelor's degree in Electrical Engineering or related field required; Master's preferred

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