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Vehicle Validation Engineer Jobs in Michigan (NOW HIRING)

Stellantis

AI Validation Engineer

Auburn Hills, MI · On-site

As AI-powered features become central to automotive vehicles -- from ADAS perception and voice ... We are seeking a Senior AI Validation Engineer to design and implement testing strategies ...

Inteva Products

Senior Validation Engineer

Troy, MI · On-site

Position Requirements REQUIRED - Minimum 5 years of experience in automotive validation, testing ... vehicle quality, safety and performance. Inteva has global resources for design, engineering ...

Delphi Technologies

Senior Validation Engineer

Troy, MI · On-site

$90 - $130/hr

Coordinate validation readiness activities across Program Management, Product Engineering ... vehicle quality, safety and performance. Inteva has global resources for design, engineering ...

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Vehicle Validation Engineer information

See Michigan salary details

$19

$45

$68

How much do vehicle validation engineer jobs pay per hour?

As of Sep 6, 2026, the average hourly pay for vehicle validation engineer in Michigan is $45.32, according to ZipRecruiter salary data. Most workers in this role earn between $34.38 and $55.10 per hour, depending on experience, location, and employer.

What does a vehicle validation engineer do?

A Vehicle Validation Engineer is responsible for testing and verifying that vehicles meet all required safety, performance, and regulatory standards before they go to market. They design and execute test plans, analyze data, and collaborate with design and manufacturing teams to identify and resolve any issues. Their work ensures that vehicles are reliable, safe, and function as intended under various conditions.

What are some common challenges faced by vehicle validation engineers during the testing phase?

Vehicle Validation Engineers often encounter challenges such as tight project timelines, rapidly evolving technology, and the need to coordinate tests across multiple departments. They must ensure that vehicles meet stringent safety, performance, and regulatory standards while adapting quickly to unexpected test results or component issues. Effective communication and problem-solving skills are essential for addressing these challenges and collaborating with design, manufacturing, and quality teams to implement solutions efficiently.

What are the key skills and qualifications needed to thrive as a vehicle validation engineer, and why are they important?

To thrive as a Vehicle Validation Engineer, you need a solid background in mechanical or automotive engineering, strong analytical skills, and experience with vehicle testing and validation processes. Familiarity with diagnostic tools, data acquisition systems, and relevant industry standards or certifications, such as ISO or Six Sigma, is typically required. Excellent problem-solving abilities, attention to detail, and strong communication skills help you collaborate effectively and deliver accurate results. These skills are crucial for ensuring vehicle safety, quality, and compliance with regulatory standards during the development process.

What is the difference between Vehicle Validation Engineer vs Vehicle Test Engineer?

AspectVehicle Validation EngineerVehicle Test Engineer
Required CredentialsBachelor's in Mechanical, Automotive, or Electrical Engineering; certifications like ISTQB or SAE are commonBachelor's in Mechanical, Automotive, or Electrical Engineering; similar certifications often required
Work EnvironmentDesigning validation plans, analyzing data, ensuring vehicle complianceConducting tests, operating testing equipment, recording test results
Industry UsageUsed in automotive manufacturing, OEMs, and suppliers for validation phasesUsed in testing labs, manufacturing plants, and R&D departments

Vehicle Validation Engineers focus on validating vehicle systems through analysis and testing to ensure compliance and performance, while Vehicle Test Engineers primarily conduct physical tests and operate testing equipment. Both roles require similar educational backgrounds and certifications, often working closely within automotive development teams to ensure vehicle quality and safety.

Are vehicle validation engineers in demand?

Vehicle validation engineers are in demand due to the growing automotive industry and the increasing focus on safety, quality, and compliance standards. They typically require knowledge of testing procedures, validation tools, and industry regulations, making their skills valuable in automotive manufacturing and development environments.

Do vehicle validation engineers make good money?

Vehicle validation engineers typically earn competitive salaries that vary by industry, experience, and location. They often require knowledge of testing procedures, quality standards, and tools like MATLAB or CAN bus systems. Overall, the role offers solid compensation within the automotive and transportation sectors.

What are popular job titles related to Vehicle Validation Engineer jobs in Michigan?

For Vehicle Validation Engineer jobs in Michigan, the most frequently searched job titles are:

What job categories do people searching Vehicle Validation Engineer jobs in Michigan look for?

The top searched job categories for Vehicle Validation Engineer jobs in Michigan are:

Vehicle Validation Engineer jobs near you
Infographic showing various Vehicle Validation Engineer job openings in Michigan as of August 2026, with employment types broken down into 94% Full Time, and 6% Contract. Highlights an 100% In-person job distribution, with an average salary of $94,265 per year, or $45.3 per hour.

AI Validation Engineer

Stellantis

Auburn Hills, MI • On-site

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 14 hours ago

Stellantis rating

7.5

Company rating: 7.5 out of 10

Based on 131 frontline employees who took The Breakroom Quiz

13th of 45 rated automakers

Job description

As AI-powered features become central to automotive vehicles — from ADAS perception and voice assistants to predictive diagnostics and intelligent infotainment — rigorous validation of these systems is critical for successful deployment. We are seeking a Senior AI Validation Engineer to design and implement testing strategies, frameworks, and automated pipelines that ensure the quality, safety, and reliability of deep learning and LLM-based features across vehicle platforms.

This role sits at the intersection of AI/ML engineering and automotive system validation. You will build the tools, datasets, and evaluation methodologies that enable confident delivery of AI-driven automotive solutions.

Key Responsibilities:

  • Design and implement validation frameworks for deep learning models (perception, NLP, generative AI) deployed in automotive systems, covering accuracy, robustness, latency, and safety metrics.
  • Develop automated test pipelines for LLM-based features, including hallucination detection, response quality evaluation, prompt regression testing, and adversarial input testing.
  • Build and curate evaluation datasets and benchmarks tailored to automotive AI use cases (e.g., voice commands, diagnostic Q&A, sensor fusion outputs).
  • Create AI-assisted test generation tools that leverage LLMs to automatically produce test cases, test data, and expected-result specifications from system requirements.
  • Develop model monitoring and drift detection systems for AI features running in production and test environments.
  • Collaborate with system architects to integrate AI model validation into existing test bench infrastructure and CI/CD pipelines.
  • Implement automated regression testing for ML model updates, ensuring backward compatibility and performance parity across software releases.
  • Analyze test results using statistical methods and ML techniques to identify root causes, failure patterns, and quality trends.
  • Work in cross-functional Agile teams spanning AI/ML, embedded software, and system integration disciplines.

Basic Qualifications:

  • Bachelor’s degree in computer science, Machine Learning, Data Science, Electrical Engineering, or a related field.
  • Minimum of 5 years of experience in ML/AI development, with a minimum of 2 years focused on model evaluation, testing, or validation.
  • Strong proficiency in Python and testing/automation frameworks (pytest, Robot Framework, or equivalent).
  • Hands-on experience evaluating deep learning models — including metrics design, dataset curation, bias/fairness analysis, and regression testing.
  • Experience with LLM evaluation techniques (BLEU, ROUGE, human-in-the-loop evaluation, LLM-as-judge approaches).
  • Familiarity with ML experiment tracking and pipeline orchestration tools (MLflow, Weights & Biases, Kubeflow, or equivalent).
  • Experience with CI/CD systems (Jenkins, GitLab CI, GitHub Actions) for automated test execution.
  • Strong analytical and communication skills with the ability to translate AI validation results into actionable insights for engineering teams.

Preferred Qualifications:

  • Master's in Computer Science, Machine Learning, or a related field.
  • Experience with simulation-based testing or digital twin environments.
  • Familiarity with automotive test toolchains (dSpace, Vector CANoe, NI VeriStand) is a plus but not required.
  • Ability to collaborate effectively across time zones with global engineering teams.
  • Knowledge of automotive safety standards (ISO 26262, SOTIF/ISO 21448) as applied to AI systems.
  • Experience with adversarial robustness testing, out-of-distribution detection, or uncertainty quantification for neural networks.

Our Benefits — Designed with You in Mind

Comprehensive Health & Well-being Coverage
From your very first day, you’ll have access to medical, dental, vision, and prescription drug coverage — ensuring you and your family stay healthy and protected.

Generous Paid Time Off
We believe in work-life balance. That’s why we offer: 17+ paid holidays, including shut-down from December 24th through New Years Day every year. Vacation, float & wellbeing days, sick time and fully paid parental leave when your family needs you most.

Competitive Retirement Savings Plans
We help you plan for the future with:

  • An employer match on contributions to your 401k, Roth, and Catch-Up plans
  • An employer contribution, even if you don’t contribute

Income Protection & Insurance Options
Benefit from included and optional disability, life, and other insurance programs — because your peace of mind matters.

Company Vehicle Lease Program
Eligible employees and their immediate families can enjoy company vehicle lease options with included insurance, maintenance, and unlimited mileage. Plus, take advantage of exclusive discounts on Stellantis products.

Family Building Benefit
We proudly support all paths to parenthood- including fertility and infertility treatments, adoption services, and gestational surrogacy.

Support for Your Growth and Giving Back
We believe in investing in your future and your passions:

  • Tuition reimbursement
  • Student loan refinancing programs
  • 18 paid volunteer hours each year to make a difference in your community

And so much more!
When you join us, you’re not just building a career — you’re joining a company that supports you, inside and outside of work.

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