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Verification Validation Jobs in Berkeley, CA (NOW HIRING)

R&D Engineer Sr.

Alameda, CA · On-site

$100K - $136K/yr

Review quality system documentation products as they apply to the development, verification, validation, use, and maintenance of medical device software. Coordinate activities with other engineering ...

Review quality system documentation products as they apply to the development, verification, validation, use, and maintenance of medical device software. Coordinate activities with other engineering ...

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Verification Validation information

See Berkeley, CA salary details

$27

$63

$95

How much do verification validation jobs pay per hour?

As of Aug 7, 2026, the average hourly pay for verification validation in Berkeley, CA is $63.67, according to ZipRecruiter salary data. Most workers in this role earn between $48.27 and $77.40 per hour, depending on experience, location, and employer.

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

AspectVerification ValidationQuality Assurance Specialist
Primary FocusEnsuring products meet specifications and design requirementsOverseeing processes to maintain quality standards
ActivitiesDesign reviews, testing, inspectionsProcess audits, compliance checks, documentation
CertificationsOften requires engineering or technical certificationsQuality management certifications like CQE or ASQ
Work EnvironmentProduct development, manufacturing, engineering labsManufacturing plants, quality departments, audits

Verification Validation focuses on confirming that a product meets its design specifications through testing and inspections. Quality Assurance Specialists oversee the overall quality processes, ensuring compliance and continuous improvement. While both roles aim to ensure product quality, Verification Validation is more technical and product-specific, whereas Quality Assurance is process-oriented and broader in scope.

What are popular job titles related to Verification Validation jobs in Berkeley, CA? For Verification Validation jobs in Berkeley, CA, the most frequently searched job titles are:
What job categories do people searching Verification Validation jobs in Berkeley, CA look for? The top searched job categories for Verification Validation jobs in Berkeley, CA are:
What cities near Berkeley, CA are hiring for Verification Validation jobs? Cities near Berkeley, CA with the most Verification Validation job openings:

Senior Systems Verification & Validation Engineer

Serve Robotics

Redwood City, CA • On-site

$185K - $205K/yr

Full-time

Re-posted 2 days ago


Job description

At Serve Robotics, we're reimagining how things move in cities. Our personable sidewalk robot is our vision for the future. It's designed to take deliveries away from congested streets, make deliveries available to more people, and benefit local businesses.
The Serve fleet has been delighting merchants, customers, and pedestrians along the way in Los Angeles, Miami, Dallas, Atlanta and Chicago while doing commercial deliveries. We're looking for talented individuals who will grow robotic deliveries from surprising novelty to efficient ubiquity.
Who We Are
We are tech industry veterans in software, hardware, and design who are pooling our skills to build the future we want to live in. We are solving real-world problems leveraging robotics, machine learning and computer vision, among other disciplines, with a mindful eye towards the end-to-end user experience. Our team is agile, diverse, and driven. We believe that the best way to solve complicated dynamic problems is collaboratively and respectfully.
The Senior Systems Verification & Validation Engineer is responsible for demonstrating and ensuring robots are safe, robust, performant, and satisfy market/customer needs. This position owns the verification & validation of requirements for autonomous last-mile delivery robots, both building out the high-level test campaigns through to defining the individual test cases and execution. This role partners cross-functionally to define and orchestrate the test and evaluation of complex systems by breaking high-level product goals and system requirements down into actionable strategies and methods for evaluation.
Responsibilities
  • Lead verification & validation test campaigns that ensure all requirements are satisfied and the delivery of a safe and responsible autonomous product
  • Work cross-functionally to develop novel strategies and methods to verify and validate both the hardware and software of an autonomous sidewalk delivery robot, drawing on analysis, simulation, HIL testing, and vehicle testing
  • Execute the technical and logistical planning of vehicle tests including cross-functional coordination with other teams, such as hardware, firmware, and autonomy
  • Maintain traceability between requirements, test cases, and results
  • Work cross-functionally to develop detailed simulations and structured test plans and procedures
  • Troubleshoot and debug issues in the field, and trace failures to correct subsystems
  • Perform test data analysis and report test results. Define and develop automated data extraction tools to streamline analysis and reporting

Qualifications
  • B.S. in Mechanical, Electrical, Software or equivalent engineering field
  • 8+ years of experience in the design and test of complex electromechanical and/or robotic systems
  • Experience and willingness to be hands-on with developing and building test infrastructure, executing tests and debugging of electromechanical systems
  • Experience with test scripting and data analysis languages (e.g. Python and SQL)
  • Fundamental knowledge of mechanical, electrical, and software engineering
  • Experience in data analysis of test results including probability and statistical analysis techniques
  • Experience with systems engineering fundamentals, particularly verification & validation methods
  • Excellent written and verbal communication skills for audiences ranging from technicians to senior executives

What Makes You Stand Out
  • M.S., or Ph.D in Mechanical, Electrical, Software or equivalent engineering field
  • Experience in autonomous systems and/or mobile robotics
  • Experience in one or more of the following industries: automotive, medical, aerospace, robotics
  • Experience working in Unix/Linux environments