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Computer Vision Engineer Jobs in Michigan (NOW HIRING)

Factory Controls Engineer

Sterling Heights, MI · On-site

$78K - $101K/yr

Controls Engineer working in OEM Manufacturing Plant as a Controls Engineer. We believe our ... Robotics, Computer Vision Experience Required: * 5+ yrs of related experience * Ability to work ...

Computer Vision tasks: Object detection, classification, segmentation, tracking, depth estimation ... Strong programming skills in Python and/or C++ with experience in modular software design and ...

Apply computer vision, path planning, and control algorithms to enable mission execution with ... Bachelor's degree in Robotics, Computer Science, Electrical Engineering and 5-7 years experience.

Apply computer vision, path planning, and control algorithms to enable mission execution with ... Bachelor's degree in Robotics, Computer Science, Electrical Engineering and 5-7 years experience.

... for engineering changes and improvements Maintain program backups for machinery and automation ... Computer Vision Experience Required * 5+ yrs of related experience * Ability to work with UAW ...

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Manufacturing Controls Engineer * Develop and implement improvements to control systems and ... Robotics, Computer Vision Experience Required: * Education: High School Diploma * Experience: 5+ ...

Description Office 365 engineer/admin to oversee a major workload such as microsft teams, exchange ... vision • Critical Illness, Accident, and Hospital • 401(k) Retirement Plan - Pre-tax and Roth ...

Showing results 41-60

Computer Vision Engineer information

See Michigan salary details

$42.3K

$105.9K

$119.8K

How much do computer vision engineer jobs pay per year?

As of Aug 22, 2026, the average yearly pay for computer vision engineer in Michigan is $105,912.00, according to ZipRecruiter salary data. Most workers in this role earn between $97,200.00 and $114,600.00 per year, depending on experience, location, and employer.

What is a computer vision engineer?

Computer Vision Engineers are professionals who develop algorithms and systems that enable computers to interpret and process visual information from the world, such as images and videos. They work on tasks like object detection, facial recognition, image segmentation, and more, often using machine learning and deep learning techniques. These engineers apply their expertise in fields like robotics, autonomous vehicles, healthcare, and augmented reality, turning raw visual data into actionable insights.

What does a computer vision engineer do?

Computer vision is a branch of artificial intelligence that attempts to replicate human analytical processes by using algorithms and computer models to understand and identify patterns in images. As a computer vision engineer, you use software to handle the processing and analysis of large data populations, and your efforts support the automation of predictive decision-making efforts. Your responsibilities involve research, programming, data analysis, and user interface design. You may work on a variety of exciting development projects like self-driving cars, mobile devices, innovative features and capabilities in sports and entertainment, and the next generation of social media enhancements.

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

To thrive as a Computer Vision Engineer, you need a strong background in computer science, mathematics, and machine learning, often supported by a relevant degree and experience with image processing algorithms. Familiarity with tools and frameworks such as OpenCV, TensorFlow, PyTorch, and proficiency in programming languages like Python or C++ is essential, along with knowledge of deep learning techniques. Analytical thinking, creativity, and effective communication are standout soft skills for this role. These skills and qualities are crucial for developing innovative vision solutions, interpreting complex data, and collaborating efficiently within interdisciplinary teams.

What are some common challenges faced by computer vision engineers when deploying models to production environments?

Computer Vision Engineers often encounter challenges such as ensuring model accuracy in diverse real-world conditions, optimizing models for efficiency on edge devices, and handling large-scale data processing. Deploying models to production requires balancing performance with resource constraints and addressing issues like latency, scalability, and data privacy. Collaborating closely with software engineers and data scientists is crucial to integrate solutions effectively and continuously monitor and improve model performance in live applications.

What is the difference between Computer Vision Engineer vs Machine Learning Engineer?

AspectComputer Vision EngineerMachine Learning Engineer
Required CredentialsBachelor's or Master's in CS, Electrical Engineering, or related; knowledge of image processing and computer vision librariesBachelor's or Master's in CS, Data Science, or related; strong programming and statistical skills
Work EnvironmentDevelops algorithms for image/video analysis, object detection, and recognition in tech, automotive, or healthcare industriesBuilds models for various data types, including text, images, and structured data across multiple sectors
Employer & Industry UsageTech companies, autonomous vehicles, robotics, healthcareTech firms, finance, e-commerce, healthcare, and research institutions

While both roles involve machine learning techniques, Computer Vision Engineers specialize in developing algorithms for visual data, whereas Machine Learning Engineers work on broader data modeling across various data types. The roles often overlap but differ mainly in focus and application areas.

What are the most commonly searched types of Computer Vision Engineer jobs in Michigan?

The most popular types of Computer Vision Engineer jobs in Michigan are:

What are popular job titles related to Computer Vision Engineer jobs in Michigan?

For Computer Vision Engineer jobs in Michigan, the most frequently searched job titles are:

What cities in Michigan are hiring for Computer Vision Engineer jobs?

Cities in Michigan with the most Computer Vision Engineer job openings:

Infographic showing various Computer Vision Engineer job openings in Michigan as of August 2026, with employment types broken down into 1% As Needed, 73% Full Time, 17% Part Time, 2% Temporary, 6% Contract, and 1% Nights. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution, with an average salary of $105,912 per year, or $50.9 per hour.

Verification and Validation Engineer

Ford Motor Company

Dearborn, MI

$115K - $162K/yr

Full-time

Medical, Dental, Vision, Life, PTO

Posted 7 days ago


Job description

We are seeking an ADAS Sensing Systems Validation Engineer to validate and continuously improve the performance of advanced driver-assistance sensing systems across Ford's full vehicle lineup. In this role, you will develop and execute rigorous design validation methods to ensure proper sensing performance at the component, system, and vehicle level-accounting for diverse environmental conditions and cross-carline variability. You will also play a key role in defining use cases, functional requirements, and performance targets for ADAS sensing systems.

Success in this role depends on strong cross-functional collaboration, partnering with Hardware/Software teams, Systems Engineering, and Suppliers to keep verification and validation (V&V) activities aligned with broader project goals. This position also requires strong systems-level thinking to develop and refine test methods that ensure consistent sensing performance across Ford's entire vehicle portfolio. In addition, you will identify opportunities to apply HIL and CAE methodologies for platform and sensor verification, and champion continuous improvement of V&V processes by integrating industry best practices and emerging technologies.

You'll have...

Basic Qualifications:

  • Bachelor's degree in Electrical Engineering, Mechanical Engineering, Robotics, Controls, Aerospace Engineering, Computer Science, or a related field
  • 2+ years of validation/test engineering experience in a professional or educational setting (any combination)
  • Experience with data collection and analysis in laboratory, HIL, and vehicle test environments
  • General knowledge of or experience developing/testing features and sensing systems in the ADAS domain, using radars, cameras, lidars, ultrasonic sensors, or related vehicle systems (body, electrical, chassis, powertrain)
  • Proven technical skills using Vector, CANalyzer, and CANape tools
  • Strong analytical and creative problem-solving skills

Preferred Qualifications:

  • Master's degree in Electrical Engineering, Mechanical Engineering, Robotics, Controls, Aerospace Engineering, Computer Science, or a related field
  • Experience leading the validation and verification of ADAS sensing systems
  • Experience with computer vision and radar tracking of humans, vehicles, static roadway obstacles, or other typical road objects
  • Experience with computer vision detection and tracking of signs, lights, lanes, and other key artifacts
  • Understanding of embedded hardware and software design
  • Experience reviewing, categorizing, and analyzing field data to determine error states/failure modes
  • Experience developing, conducting, observing, and reporting on statistically relevant verification and validation methods across the global population
  • Experience with MobilEye EyeQ technology
  • Exposure to vehicle attribute development (Vehicle Dynamics, NVH, Package, Performance/FE, etc.)
  • Experience in project management and/or an integration role, leading and directing other team members
  • Experience with failure mode analysis techniques
  • Understanding of Kalman filtering, vehicle dynamics, and linear/nonlinear control methods
  • Software engineering and algorithm development experience in any language (e.g., C, C++, Python, MATLAB)

You may not check every box, or your experience may look a little different from what we've outlined, but if you think you can bring value to Ford Motor Company, we encourage you to apply!

As an established global company, we offer the benefit of choice. You can choose what your Ford future will look like: will your story span the globe, or keep you close to home? Will your career be a deep dive into what you love, or a series of new teams and new skills? Will you be a leader, a changemaker, a technical expert, a culture builder...or all of the above? No matter what you choose, we offer a work life that works for you, including:

  • Immediate medical, dental, vision and prescription drug coverage

  • Flexible family care days, paid parental leave, new parent ramp-up programs, subsidized back-up child care and more

  • Family building benefits including adoption and surrogacy expense reimbursement, fertility treatments, and more

  • Vehicle discount program for employees and family members and management leases

  • Tuition assistance

  • Established and active employee resource groups

  • Paid time off for individual and team community service

  • A generous schedule of paid holidays, including the week between Christmas and New Year's Day

  • Paid time off and the option to purchase additional vacation time.

This position is a salary grade 7 and ranges from $99,600-$146,600., This position is a salary grade 8 and ranges from $115,000-$162,900.

For more information on salary and benefits, click here:

Visa sponsorship is not available for this position.

Candidates for positions with Ford Motor Company must be legally authorized to work in the United States. Verification of employment eligibility will be required at the time of hire.

This position is hybrid with a requirement to be onsite four or more days per week. #LI-Hybrid

#DP2
 

  • Develop, refine, and execute design validation methods to ensure sensing system performance at the component, system, and vehicle levels across diverse environmental and cross-carline noise factors.
  • Support the development, design, and verification of use cases, functional-level requirements, and targets for ADAS sensing systems.
  • Support upgrades and enhancements to ADAS sensing systems by collaborating with feature owners on modeling changes, regression testing, test vector support, data review, issue identification, and supplier coordination.
  • Develop and improve system- and subsystem-level designs, interfaces, and specifications to ensure consistent sensing system performance across the full range of Ford vehicle offerings.
  • Ensure system design, failure mode analysis, functional safety, and related deliverables enable seamless integration with existing features while delivering an exceptional user experience.
  • Support the development of data analysis techniques and methods for sensing system data generated across various test environments (SIL/HIL/Bench/Vehicle) to meet performance specifications.
  • Coordinate with cross-functional teams-including Software Development, Program Management, Systems Engineering, and Suppliers-to align verification and validation (V&V) activities with overall project goals.
  • Identify and implement opportunities to leverage HIL and CAE methods for ADAS platform and sensor performance verification.
  • Drive continuous improvement of V&V processes and methodologies by applying industry best practices and emerging technologies to enhance efficiency and effectiveness.

Ford logo

About Ford

Sourced by ZipRecruiter

At Ford Motor Company, we believe freedom of movement drives human progress. With our incredible plans for the future of mobility, we have a wide variety of opportunities for you to accelerate your career and help us define tomorrow's transportation.

Industry

Civil engineering construction

Company size

51 - 200 Employees

Headquarters location

Doral, FL, US

Year founded

1982