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Computer Vision Engineer Jobs in Michigan (NOW HIRING)

... from computer vision applications to generative AI models. This position requires a strong ... The ideal candidate will be a versatile engineer who can navigate complex software development ...

Solid background in 3D computer vision and point cloud processing (PCL, OpenCV) for robotic manipulation tasks. Programming Skills: Strong proficiency in modern C++ and Python. System Integration:

Solid background in 3D computer vision and point cloud processing (PCL, OpenCV) for robotic manipulation tasks. Programming Skills: Strong proficiency in modern C++ and Python. System Integration:

Controls Engineer

Sterling Heights, MI · On-site

$78.30K - $101.20K/yr

... for engineering changes and improvements Maintain program backups for machinery and automation ... Access Controls, Siemens, Backup Software, Software Development, PLC/CNC, Robotics, Computer Vision ...

Controls Engineer

Sterling Heights, MI

$78.30K - $101.20K/yr

... for engineering changes and improvements Maintain program backups for machinery and automation ... Access Controls, Siemens, Backup Software, Software Development, PLC/CNC, Robotics, Computer Vision ...

Controls Engineer

Sterling Heights, MI · On-site

$78.30K - $101.20K/yr

... for engineering changes and improvements Maintain program backups for machinery and automation ... Access Controls, Siemens, Backup Software, Software Development, PLC/CNC, Robotics, Computer Vision ...

AI: mastery in one AI field such as Natural Language Processing or Computer Vision is appreciated * Palantir Foundry platform * Microsoft PowerBI / Fabrics tool (incl. DAX programming language)

... programming language, CUDA, and GPU architectures for parallel computing and model optimization. • Strong knowledge of machine learning architectures and techniques, with a focus on computer vision ...

... programming language, CUDA, and GPU architectures for parallel computing and model optimization. Strong knowledge of machine learning architectures and techniques, with a focus on computer vision and ...

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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 May 31, 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 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 are Computer Vision Engineers?

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 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 May 2026, with employment types broken down into 2% Internship, 95% Full Time, and 3% Contract. Highlights an 88% In-person, 3% Hybrid, and 9% Remote job distribution, with an average salary of $105,912 per year, or $50.9 per hour.
ADAS Driver in Loop Simulation Engineer

ADAS Driver in Loop Simulation Engineer

Ford Motor Company

Dearborn, MI • Hybrid

$83K - $160K/yr

Full-time

Medical, Dental, Vision, Life, PTO

Posted 5 days ago


Job description

At Ford Motor Company, we believe freedom of movement drives human progress. We also believe in providing you with the freedom to define and realize your dreams. With our incredible plans for the future of mobility, we have a wide variety of opportunities for you to accelerate your career potential as you help us define tomorrow's transportation. In Product Development, we bring engineering ideas to life. 

The ADAS Virtual Verification and Validation group develops and applies state-of-the-art tools and methods to validate ADAS features, including Driver-in-the-Loop (DiL) simulators that are interactive high-fidelity systems that integrate a human driver with vehicle simulation models and systems in real-time immersive virtual environment. These simulators aid improvements in driver interactions and experience; helping to deliver ADAS features with quality and robustness to improve customer satisfaction. Our engineers support the latest ADAS features such as Blue Cruise (BC), System Initiated Lane Change (SILC) and Lane Keeping Aid (LKA).

You'll have... 

  • Bachelor's Degree in Computer Science, Mechanical Engineering, Electrical Engineering, Computer Engineering, or related field or a combination of education and equivalent experience
  • 2-5 years of experience developing/testing features in related vehicle systems (vehicle dynamics, body, electrical, chassis, powertrain)
  • 2-5 years of experience with at least one scripting or programming language (e.g., C, C++, Python, JavaScript, etc.)

Even better, you may have...

  • Master's degree in Mechanical Engineering, Electrical Engineering, Computer Engineering, in Computer Science, or related field 
  • Experience in DiL (Driver-in-the-loop) simulators (VI-Grade, Ansible, RTI, Rexroth, etc.)
  • Experience with real-time computing (Concurrent Simulation Workbench, other.) 
  • Experience with HIL (Hardware-in-the-Loop) or SIL (Software-in-the-Loop)
  • Experience with ADAS and/or vehicle dynamics simulation tools (CarMaker, CarSim, monoDrive, Unreal, etc.).
  • Experience developing software within standard methodologies (Agile, Waterfall, DevOps, and Lean)
  • Troubleshooting experience with electromechanical systems
  • Experience using typical automotive interfaces: CAN, CANFD, Autosar, Auto-Ethernet, etc. 
  • Experience using Vector CANape, CANalyzer or similar tools
  • Analytical and creative problem-solving skills
  • Exposure to vehicle attributes development (e.g. ADAS, vehicle dynamics, steering/chassis systems, etc.)
  • Experience leading the validation and verification of ADAS sensing systems
  • Experience with computer vision & radar tracking of humans, vehicles, static roadway obstacles or other typical road objects.
  • Experience with computer vision detection & tracking of signs, lights, lanes and other key artifacts. 
  • Experience with MATLAB/Simulink
  • Experience in verification techniques (design verification methods, vehicle data acquisition/analysis)
  • Strong leadership skills, passion for quality, passion to improve customer satisfaction
  • Good communications and project management skills
  • Strong oral & written skills
  • Ability to work both independently and take initiative when necessary
  • Strong teamwork & interpersonal skills

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 6-8 and ranges from $83,000 - $160,000.

For more information on salary and benefits, click here: https://fordcareers.co/GSR. 

Visa sponsorship is 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 (onsite four days per week). 

#LI-Hybrid 
#LI-CL2
 

What you'll do...

  • Lead Driver-In-Loop (DiL) Simulator development and testing to support the development and sign-off of ADAS features
  • Contribute to development of simulation platform to support cross-tool SiL,DiL, HiL virtual validation methods
  • Develop new DiL solutions for feature development and validation, combining simulation with traditional vehicle testing methods on vehicle simulators
  • Closely coordinate with feature development engineers to support execution of design verification plans to ensure proper feature-level performance. 
  • Conduct customer-level algorithm and calibration clinic studies to satisfy vehicle-level performance requirements
  • Create virtual roads and scenarios for robust testing of ADAS features (Regulatory, Functional, Performance, Real World).
  • Develop and integrate camera, radar, and ultrasonic sensor stimulation and simulation tools to support testing of new and existing ADAS features.
  • Collaborate cross-functionally with technical specialists, product owners, developers, simulation, HIL, and vehicle test teams to establish tools and test procedures that improve efficiency of and enable new test cases for vehicle level testing.
  • Develop Python tools for data collection and analysis
  • Grow and demonstrate technical leadership amongst a team of highly energized and collaborative peers in a fast-paced environment. 

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