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Senior Validation Engineer Jobs in Rochester Hills, MI

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 ...

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Senior Validation Engineer information

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$32

$59

$90

How much do senior validation engineer jobs pay per hour?

As of Aug 17, 2026, the average hourly pay for senior validation engineer in Rochester Hills, MI is $59.62, according to ZipRecruiter salary data. Most workers in this role earn between $47.55 and $67.69 per hour, depending on experience, location, and employer.

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

To thrive as a Senior Validation Engineer, you need a solid background in engineering, quality assurance, and regulatory compliance, typically supported by a relevant degree and experience in validation within regulated industries. Familiarity with validation protocols (IQ, OQ, PQ), statistical analysis tools, and systems like FDA 21 CFR Part 11 is crucial. Strong problem-solving, attention to detail, and effective communication skills help ensure successful project outcomes and cross-functional collaboration. These skills and qualifications are essential to maintain product quality, meet regulatory standards, and drive continuous improvement.

What does a senior validation engineer do?

A Senior Validation Engineer is responsible for ensuring that products, systems, or processes meet regulatory standards and function as intended. They develop and execute validation protocols, analyze test data, and document results to confirm compliance with industry and company standards. Senior Validation Engineers often lead validation projects, collaborate with cross-functional teams, and mentor junior staff. Their work is critical in industries like pharmaceuticals, biotechnology, and manufacturing, where product safety and efficacy are essential.

What are some typical challenges faced by senior validation engineers when leading validation projects?

Senior Validation Engineers often encounter challenges such as managing tight project timelines, ensuring compliance with evolving regulatory standards, and coordinating cross-functional teams. Balancing the needs of production, quality assurance, and regulatory affairs requires strong communication and project management skills. Additionally, troubleshooting unexpected validation failures and documenting results thoroughly are key aspects that demand both technical expertise and attention to detail.

What is the difference between Senior Validation Engineer vs Validation Specialist?

AspectSenior Validation EngineerValidation Specialist
CredentialsBachelor's or Master's in Engineering, Life Sciences, or related fields; often with certifications like GxP or CSVSimilar educational background; certifications like GxP or CSV are common
Work EnvironmentDesigns and oversees validation protocols in manufacturing, biotech, or pharmaceutical settingsExecutes validation tasks, tests, and documentation in similar environments
Employer & IndustryPharmaceutical, biotech, medical device companiesSame industries, often working under validation teams
Search & ComparisonOften compared for experience level and responsibilitiesCommonly searched together for validation roles

The main difference is that a Senior Validation Engineer typically leads validation projects, designs protocols, and oversees validation activities, while a Validation Specialist focuses on executing validation tests and documentation. Both roles require similar credentials and work in comparable environments, but the Senior Validation Engineer has more responsibility for planning and oversight.

What are popular job titles related to Senior Validation Engineer jobs in Rochester Hills, MI?

For Senior Validation Engineer jobs in Rochester Hills, MI, the most frequently searched job titles are:

What cities near Rochester Hills, MI are hiring for Senior Validation Engineer jobs?

Cities near Rochester Hills, MI with the most Senior Validation Engineer job openings:

Infographic showing various Senior Validation Engineer job openings in Rochester Hills, MI as of August 2026, with employment types broken down into 83% Full Time, 12% Part Time, and 5% Contract. Highlights an 86% Physical, 5% Hybrid, and 9% Remote job distribution, with an average salary of $124,009 per year, or $59.6 per hour.

AI Validation Engineer

Stellantis

Auburn Hills, MI

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 10 days ago


Stellantis rating

7.5

Company rating: 7.5 out of 10

Based on 131 frontline employees who took The Breakroom Quiz

13th of 44 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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