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Verification And Validation Engineer information

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How much do verification and validation engineer jobs pay per hour?

As of Jul 28, 2026, the average hourly pay for verification and validation engineer in California is $51.32, according to ZipRecruiter salary data. Most workers in this role earn between $38.89 and $62.40 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Verification and Validation Engineer, and why are they important?

To thrive as a Verification and Validation Engineer, you need a solid background in engineering principles, software or hardware testing methodologies, and a relevant degree such as in electrical, computer, or systems engineering. Familiarity with test automation tools (e.g., Selenium, Jenkins), scripting languages, and standards like ISO or IEEE V&V processes is commonly required, along with certifications such as ISTQB. Attention to detail, analytical thinking, and strong communication skills set top performers apart by enabling thorough test coverage and clear reporting. These skills are essential to ensure products meet quality standards, regulatory requirements, and customer expectations before release.

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

AspectVerification And Validation EngineerQuality Assurance Engineer
CredentialsTypically requires engineering degrees, certifications like ISTQB or ASQ CQEOften holds degrees in engineering, quality management, or related fields; certifications like Six Sigma or ISTQB
Work EnvironmentWorks in product development, testing labs, and manufacturing settingsWorks across development, production, and process improvement environments
Industry UsageCommon in electronics, aerospace, automotive, and medical device industriesWidely used in manufacturing, software, and service industries
FocusEnsures products meet specifications through testing and validationEnsures quality processes are followed to prevent defects

While both roles aim to ensure product quality, Verification And Validation Engineers focus on testing and confirming that products meet specifications, whereas Quality Assurance Engineers develop and maintain quality systems and processes to prevent defects. Both roles often collaborate but serve different stages of the product lifecycle.

How does a Verification and Validation Engineer typically interact with development and QA teams during a project?

A Verification and Validation Engineer works closely with both development and QA teams to ensure that products meet specified requirements and function as intended. They often review design documents, develop test plans, and execute test cases in collaboration with developers, providing feedback on potential issues early in the process. Regular communication and coordination with QA are essential to ensure comprehensive test coverage and resolve defects efficiently. This collaborative approach helps maintain product quality and supports a smooth development lifecycle.

What are Verification and Validation Engineers?

Verification and Validation Engineers are professionals responsible for ensuring that products, systems, or software meet specified requirements and function as intended. They design and execute tests, review documentation, and analyze results to confirm that deliverables are both built correctly (verification) and serve their intended purpose (validation). Their work is crucial in highly regulated industries like aerospace, automotive, and healthcare, where safety and compliance are critical. These engineers collaborate with development teams to identify defects early and help ensure that projects meet quality standards before release.
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Verification And Validation Engineer jobs near you
Infographic showing various Verification And Validation Engineer job openings in California as of July 2026, with employment types broken down into 1% As Needed, 75% Full Time, 19% Part Time, and 5% Contract. Highlights an 94% Physical, 1% Hybrid, and 5% Remote job distribution, with an average salary of $106,736 per year, or $51.3 per hour.
Lead Verification & Validation Engineer

Lead Verification & Validation Engineer

ALTEN Technology USA

Palo Alto, CA • On-site

$140K - $175K/yr

Other

Posted 11 days ago

Job description

We are looking for a Lead Verification & Validation Engineer to join our team. You will be responsible for designing, developing, and executing V&V activities to ensure that our software meets the highest standards of safety and performance. In this role, you will play a critical role in ensuring the quality and reliability of our automotive systems - and serve as a technical lead across the V&V organization, guiding junior engineers and shaping validation strategy at the program level.

What you'll do:

  • Lead V&V strategy definition and own the end-to-end validation plan from concept through production release, setting direction for the broader team
  • Mentor and provide technical guidance to validation engineers, reviewing test plans, debug approaches, and automation frameworks
  • Serve as the primary technical escalation point for complex system-level failures, driving root cause analysis and cross-functional resolution
  • Design, build, and maintain complex automotive system-level test benches to validate automotive systems with a focus on automation
  • Develop comprehensive verification and validation plans for automotive software systems and features
  • Design and execute test cases and test scripts to verify system functionality, performance, and safety
  • Develop and implement automation scripts and tools to enhance testing efficiency and accuracy
  • Integrate hardware and software components to create reliable and scalable test environments
  • Lead debug of issues encountered, working with cross-functional teams across the organization on identifying root cause, confirming fixes, and providing guidance on protecting against future regressions
  • Collaborate with cross-functional teams - including software developers, controls engineers, and systems engineers - to define and implement V&V strategies
  • Continuously improve testing processes and tools to enhance efficiency and effectiveness
  • Prepare and present detailed reports on verification activities and results to stakeholders

You'll have:

  • Bachelor's degree in Electrical Engineering, Mechanical Engineering, or equivalent combination of relevant education and experience
  • 5+ years of experience in the automotive or relevant industry
  • Strong understanding of automotive systems, embedded software, and control systems
  • Demonstrated experience with automotive testing instrumentation and tools
  • Proficiency in automotive communication protocols such as CAN, LIN, Ethernet, and FlexRay
  • Working knowledge of IDLs such as DBC, LDF, ARXML, and work with internal IDLs and frameworks
  • Experience with automotive or aerospace HIL test benches, particularly with dSPACE, Vector VT, or similar platforms
  • Experience writing and executing automated and manual tests
  • Deep expertise in the EE architecture and integration of complex automotive systems, including interactions across multiple domains (e.g., body, powertrain, chassis, ADAS) and ECUs
  • Proven track record of collaborating with large, cross-functional teams across hardware, software, and systems engineering
  • Deep understanding of software development lifecycle and automotive testing methodologies
  • Experience in system-level debugging and root-cause analysis across software and hardware boundaries
  • Proficiency in understanding wiring and logical schematics, network diagrams, and harness drawings
  • Ability to define and drive system validation plan from concept to production

Even better, you may have:

  • Familiarity with safety-critical software development and industry standards like ISO 26262
  • Proficiency in programming languages such as C/C++, Python, or MATLAB
  • Experience testing fully electric vehicles

Salary Range: $140,000-$175,000/K

The actual salary offered is dependent on various factors including, but not limited to, location, the candidate's combination of job-related knowledge, qualifications, skills, education, training, and experience  

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