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Sr Validation Engineer Jobs in Rochester, MI (NOW HIRING)

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 ...

Senior Embedded Software Engineer

Pontiac, MI · On-site

$123K - $161K/yr

... Engineer, Validation Engineer, or related occupation. Alternatively, the employer will accept a Master's degree in Mechanical Engineering, Computer Engineering, Computer Science, Electrical ...

Senior Embedded Software Engineer

Pontiac, MI · Hybrid

$123K - $161K/yr

... Engineer, Validation Engineer, or related occupation. Alternatively, the employer will accept a Master's degree in Mechanical Engineering, Computer Engineering, Computer Science, Electrical ...

Work you'll do As a Senior Consultant, Regulatory, Risk, and Compliance on the Regulatory, Risk ... Bachelor's degree in business, information systems, computer science, engineering, or equivalent ...

Work you'll do As a Senior Consultant, Regulatory, Risk, and Compliance on the Regulatory, Risk ... Bachelor's degree in business, information systems, computer science, engineering, or equivalent ...

Work you'll do As a Senior Consultant, Regulatory, Risk, and Compliance on the Regulatory, Risk ... Bachelor's degree in business, information systems, computer science, engineering, or equivalent ...

Sr. Controls & Calibration Engineer

Troy, MI · On-site

$90K - $120K/yr

JOB SUMMARY The Senior Controls & Calibration Engineer is responsible for developing, calibrating ... The role partners closely with the Systems, Validation engineering teams and external engineering ...

Showing results 21-40

Sr Validation Engineer information

See Rochester, MI salary details

$32

$59

$90

How much do sr validation engineer jobs pay per hour?

As of Sep 2, 2026, the average hourly pay for sr validation engineer in Rochester, 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 is a Sr validation engineer?

Sr Validation Engineers are experienced professionals responsible for ensuring that products, systems, or processes meet regulatory standards and function as intended. They lead validation projects, develop protocols, oversee testing, and document results to confirm compliance with industry regulations, such as those from the FDA or ISO. Their work is essential in industries like pharmaceuticals, biotechnology, and manufacturing, where product quality and safety are critical. Senior validation engineers also mentor junior staff and help improve validation processes within their organizations.

What are the key skills and qualifications needed to thrive as a Sr validation engineer?

To thrive as a Sr Validation Engineer, you need a solid background in engineering or life sciences, extensive experience with validation protocols, and a strong understanding of regulatory standards such as FDA, GMP, or ISO. Expertise in using validation software, risk assessment tools, and familiarity with documentation management systems is typically required, along with certifications like Six Sigma or ASQ CQE being advantageous. Exceptional problem-solving abilities, attention to detail, and effective communication skills help you lead teams and interact with cross-functional departments. These competencies are crucial for ensuring products and processes meet compliance standards, maintain quality, and support organizational success.

What are some common challenges a Sr validation engineer faces when managing multiple validation projects simultaneously?

A Sr Validation Engineer often manages several validation projects at once, which can present challenges such as coordinating timelines, ensuring compliance with regulatory standards, and balancing cross-functional communication. Keeping detailed documentation and staying organized are essential, as unexpected equipment issues or shifting project priorities may arise. Successful engineers proactively communicate with quality, manufacturing, and R&D teams to mitigate risks, maintain project momentum, and deliver results within required deadlines.

What is the difference between Sr Validation Engineer vs Validation Engineer?

AspectSr Validation EngineerValidation Engineer
Required CredentialsBachelor's/Master's in Engineering, certifications like CQE or ASQ, experience in validation processesBachelor's in Engineering or related field, some certifications preferred, less experience required
Work EnvironmentPharmaceutical, biotech, or manufacturing industries; leading validation projectsSupporting validation tasks under supervision, often in similar industries
Employer & Industry UsageUsed by companies requiring compliance with FDA, ISO, or GMP standardsCommonly used in manufacturing and quality assurance roles

The main difference between a Sr Validation Engineer and a Validation Engineer lies in experience, responsibility, and expertise. The Sr Validation Engineer typically leads validation projects, has more advanced certifications, and plays a strategic role in compliance. Validation Engineers support validation activities and often work under supervision. Both roles are essential in regulated industries like pharmaceuticals and manufacturing, but the senior role involves greater leadership and technical oversight.

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

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

What job categories do people searching Sr Validation Engineer jobs in Rochester, MI look for?

The top searched job categories for Sr Validation Engineer jobs in Rochester, MI are:

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

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

Infographic showing various Sr Validation Engineer job openings in Rochester, MI as of August 2026, with employment types broken down into 90% Full Time, 6% Part Time, 3% Contract, and 1% Nights. Highlights an 84% Physical, 5% Hybrid, and 11% 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 26 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 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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