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Verification And Validation Engineer Jobs in Boston, MA

Validation Engineer II/III

Lexington, MA · On-site

$105K - $130K/yr

JOB SUMMARY Genezen is hiring a Validation Engineer II/III to support validation and manufacturing ... Essential Experience with validation lifecycle management and continued process verification.

New

Validation Engineer II/III

Lexington, MA · On-site

$105K - $130K/yr

JOB SUMMARY Genezen is hiring a Validation Engineer II/III to support validation and manufacturing ... Essential Experience with validation lifecycle management and continued process verification.

New

Validation Engineer II/III

Lexington, MA · On-site

$105K - $130K/yr

JOB SUMMARY Genezen is hiring a Validation Engineer II/III to support validation and manufacturing ... Essential Experience with validation lifecycle management and continued process verification.

New

We provide commissioning, qualification, validation, startup, project management, and other ... verification signals in application materials based on available information. These tools assist ...

We provide commissioning, qualification, validation, startup, project management, and other ... verification signals in application materials based on available information. These tools assist ...

We provide commissioning, qualification, validation, startup, project management, and other ... verification signals in application materials based on available information. These tools assist ...

Showing results 21-40

Verification And Validation Engineer information

See Boston, MA salary details

$24

$56

$85

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

As of Sep 5, 2026, the average hourly pay for verification and validation engineer in Boston, MA is $56.65, according to ZipRecruiter salary data. Most workers in this role earn between $42.93 and $68.89 per hour, depending on experience, location, and employer.

What is a verification and validation engineer?

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.

What skills and qualifications are needed to thrive as a verification and validation engineer?

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.

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 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.

Are verification and validation engineers in demand?

Verification and validation engineers are in high demand across industries such as aerospace, automotive, and software development, as companies prioritize quality assurance and regulatory compliance. These roles often require knowledge of testing methodologies, tools, and certifications, and employment opportunities are expected to grow with increased focus on product safety and reliability.

Do verification and validation engineers make good money?

Verification and validation engineers typically earn competitive salaries that vary by industry, experience, and location. They often require knowledge of testing tools, quality assurance processes, and sometimes certifications, which can influence earning potential. Overall, this role is considered well-compensated within engineering fields.

What are popular job titles related to Verification And Validation Engineer jobs in Boston, MA?

For Verification And Validation Engineer jobs in Boston, MA, the most frequently searched job titles are:

What job categories do people searching Verification And Validation Engineer jobs in Boston, MA look for?

The top searched job categories for Verification And Validation Engineer jobs in Boston, MA are:

What cities near Boston, MA are hiring for Verification And Validation Engineer jobs?

Cities near Boston, MA with the most Verification And Validation Engineer job openings:

Infographic showing various Verification And Validation Engineer job openings in Boston, MA as of August 2026, with employment types broken down into 57% Full Time, and 43% Contract. Highlights an 100% In-person job distribution, with an average salary of $117,497 per year, or $56.5 per hour.

Senior Data Scientist - Verification & Validation

Zoox

Boston, MA • On-site

$209K - $285K/yr

Full-time

Medical, Life, PTO

Re-posted 12 days ago


Zoox rating

7.8

Company rating: 7.8 out of 10

Based on 21 frontline employees who took The Breakroom Quiz

213th of 499 rated machine equipment manufacturers


Job description

Zoox is on an ambitious journey to develop a full-stack autonomous vehicle system for cities. We are seeking a Senior Data Scientist to join a verification and validation team that evaluates safety-critical AI systems.
You will join a team of software and data engineers that leverage methods including log data analysis, simulation, and closed-course structured testing. You'll work cross-functionally with AI software, System Design and Mission Assurance, Simulation, Sensors, and other teams to develop, execute, and iterate on validation methods and pipelines. These pipelines evaluate safety-critical systems, are highly visible, and are an important critical path element of launching our service. The ideal candidate brings a hybrid of statistical rigor and engineering mindset to drive clarity from ambiguity, establish new processes, and propel the team forward. This is a deeply technical and hands-on role where you will be expected to be a self-sufficient builder and coder, not just a manager of projects.
In this role, you will:
  • Design Evaluation Frameworks: Architect statistical methodologies for safety-critical AI systems to form objective, rigorous conclusions about their performance and reliability.
  • Conduct Robust Analysis: Deliver validation evidence to support increasingly complex operations and identify potential edge-case failures.
  • Inform Strategy: Deliver clear, data-driven insights to development teams to guide system improvement, and to executive leadership to inform milestone-level go/no-go decisions.
  • Define Metrics: Drive alignment across engineering teams on performance metrics and data extraction strategies.
  • Lead the Lifecycle: Manage all phases of evaluation including prototyping, requirements capture, design, implementation, and validation.
  • Scale Pipelines: Partner with engineers to build and maintain scalable data processing and simulation pipelines, applying distributed computing to analyze petabytes of driving data.

Qualifications:
  • MS or PhD in Statistics, Computer Science, Machine Learning, Applied Mathematics, or related quantitative field
  • Proficiency in Python and SQL with experience in production-quality code
  • Demonstrated expertise in statistical methodologies including hypothesis testing, power analysis, spatiotemporal modeling, Bayesian inference, and multivariate analysis.
  • Experience with large-scale data analysis and statistical modeling
  • Proficiency with Git, unit testing, and collaborative development practices

Bonus Qualifications:
  • Hands-on experience with production machine learning pipelines: dataset creation, training frameworks, metrics pipelines
  • Experience with modern data processing technologies such as Apache Spark, Spark SQL, and Databricks
  • Experience with designing metrics and delivering actionable insights that drive business decisions

$209,000 - $285,000 a year
There are three major components to compensation for this position: salary, Amazon Restricted Stock Units (RSUs), and Zoox Stock Appreciation Rights. A sign-on bonus may be offered as part of the compensation package. The listed range applies only to the base salary. Compensation will vary based on geographic location and level. Leveling, as well as positioning within a level, is determined by a range of factors, including, but not limited to, a candidate's relevant years of experience, domain knowledge, and interview performance. The salary range listed in this posting is representative of the range of levels Zoox is considering for this position.
Zoox also offers a comprehensive package of benefits, including paid time off (e.g. sick leave, vacation, bereavement), unpaid time off, Zoox Stock Appreciation Rights, Amazon RSUs, health insurance, long-term care insurance, long-term and short-term disability insurance, and life insurance.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

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About Zoox

Sourced by ZipRecruiter

Zoox is dedicated to creating the world's first fully autonomous vehicle fleet and the necessary ecosystem to make this technology accessible. Positioned at the crossroads of robotics, machine learning, and design, Zoox strives to deliver the future of mobility-as-a-service in urban settings. We seek exceptional individuals who share our enthusiasm and are eager to join a dynamic and results-driven team.

Industry

Manufacturing

Company size

1,001 - 5,000 Employees

Headquarters location

Foster City, CA, US