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Senior Computer Vision Engineer Jobs in Michigan

Judge Group, Inc.

CAD Designer III

Farmington Hills, MI · On-site

$80K - $100K/yr

Senior-level CAD Designer to support 3D design and modification of automotive parts and assemblies. The position will work closely with Engineering to perform design investigations, feasibility ...

Luxoft

Embedded Hardware-Software Developer

Dearborn, MI · On-site

$120 - $170/hr

Project description We are looking for a Senior V&V Embedded HW/SW Development Engineer to support ... Computer Vision technologies.The ideal candidate is a hands-on engineer who can work across the ...

Kla

Sr. Algorithm Engineer (Image Processing)

Ann Arbor, MI · Hybrid

$105K - $180K/yr

Our expert teams of physicists, engineers, data scientists and problem-solvers work together with ... Designing, developing, and optimizing innovative image processing and computer vision algorithms ...

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All JobsComputer Vision Engineer JobsSenior Computer Vision Engineer JobsSenior Computer Vision Engineer Jobs in Michigan

Senior Computer Vision Engineer information

See Michigan salary details

$51.9K

$110.3K

$159.9K

How much do senior computer vision engineer jobs pay per year?

As of Sep 5, 2026, the average yearly pay for senior computer vision engineer in Michigan is $110,306.00, according to ZipRecruiter salary data. Most workers in this role earn between $91,100.00 and $125,100.00 per year, depending on experience, location, and employer.

What is a senior computer vision engineer?

Senior Computer Vision Engineers are experienced professionals who design, develop, and optimize computer vision algorithms and systems. They typically work on advanced projects involving image and video analysis, object detection, facial recognition, and related technologies. These engineers often lead teams, set technical direction, and collaborate with other departments to integrate computer vision solutions into products or services. Their role requires strong expertise in programming, machine learning, and mathematics, as well as staying current with the latest research in the field.

What are the key skills and qualifications needed to thrive as a senior computer vision engineer?

To thrive as a Senior Computer Vision Engineer, you need a deep understanding of computer vision algorithms, strong programming skills (especially in Python or C++), and a background in mathematics or related fields, often supported by a master's or PhD. Proficiency with machine learning frameworks (such as TensorFlow, PyTorch, or OpenCV), and experience with version control systems are typically required. Exceptional problem-solving abilities, effective communication, and leadership skills help in collaborating with teams and driving innovation. These skills ensure the development of robust vision solutions, efficient project execution, and alignment with organizational goals.

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

One common challenge for Senior Computer Vision Engineers is ensuring that models perform reliably in real-world conditions, which often differ significantly from controlled training datasets. Handling variations in lighting, angles, and image quality can impact model accuracy, requiring ongoing data collection and retraining. Additionally, optimizing models for efficiency and latency is crucial when deploying to edge devices or cloud platforms, and collaboration with DevOps and software engineering teams is essential to integrate solutions seamlessly into production pipelines.

What is the difference between Senior Computer Vision Engineer vs Computer Vision Engineer?

AspectSenior Computer Vision EngineerComputer Vision Engineer
Required CredentialsBachelor's/Master's/PhD in CS, Electrical Engineering, or related field; experience in computer visionBachelor's or higher in relevant field; similar experience levels
Work EnvironmentAdvanced projects, mentorship roles, leadership responsibilitiesDevelopment and implementation of computer vision algorithms, research, and prototyping
Employer & Industry UsageTech companies, automotive, robotics, healthcareStartups, research labs, tech firms, manufacturing

The main difference between a Senior Computer Vision Engineer and a Computer Vision Engineer lies in experience and responsibilities. Senior roles typically involve leadership, mentorship, and complex project management, while standard roles focus on developing and implementing algorithms. Both positions require similar educational backgrounds and industry experience, but senior engineers often handle more strategic tasks and oversee projects.

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 Senior Computer Vision Engineer jobs in Michigan?

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

What job categories do people searching Senior Computer Vision Engineer jobs in Michigan look for?

The top searched job categories for Senior Computer Vision Engineer jobs in Michigan are:

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

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

Senior Computer Vision Engineer jobs near you
Infographic showing various Senior 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 $110,306 per year, or $53 per hour.

Senior Vision Automation Engineer -1531

Control System Integrators

Lansing, MI • On-site

$95 - $150/hr

Other

Posted yesterday

New

Job description

Responsibilities
  • Lead the design, development, testing, integration, and commissioning of industrial machine-vision applications.
  • Review customer requirements and determine the technical feasibility, risks, limitations, and appropriate inspection methodology for machine-vision applications.
  • Define machine-vision system architecture and select appropriate cameras, lenses, lighting, filters, 3D sensors, computing hardware, and related equipment.
  • Perform optical calculations and determine appropriate field of view, resolution, working distance, depth of field, exposure, and lighting requirements.
  • Develop, optimize, and validate 2D and 3D machine-vision inspections using commercial vision platforms and/or image-processing libraries.
  • Develop inspection solutions involving image acquisition, preprocessing, feature extraction, measurement, pattern matching, segmentation, surface inspection, and defect detection.
  • Plan and perform laboratory feasibility studies using representative production samples and define the operating limitations of proposed inspection methods.
  • Diagnose and resolve complex issues involving optics, lighting, image processing, software, networking, electrical systems, mechanical conditions, timing, vibration, and automation interfaces.
  • Lead machine debugging, runoff, installation, commissioning, and production-launch activities related to machine vision.
  • Communicate directly with customers and internal project teams regarding inspection performance, technical risks, application limitations, required changes, and project status.
  • Travel to customer manufacturing facilities as required for testing, installation, debugging, runoff, commissioning, and production support.

Qualifications
  • Bachelor’s degree in Electrical Engineering, Computer Engineering, Computer Science, Mechatronics, Robotics, Physics, Optical Engineering, or a related technical discipline; or equivalent relevant professional experience.
  • 5+ years of professional experience in machine vision, industrial automation, robotics, computer vision, or a closely related technical field.
  • Demonstrated ability to independently develop and commission industrial machine-vision systems.
  • Strong understanding of digital imaging, optics, and machine-vision fundamentals, including resolution, exposure, focus, field of view, working distance, depth of field, contrast, sensor characteristics, and image formation.
  • Strong understanding of machine-vision lighting techniques and their application to diffuse, textured, reflective, and difficult-to-image surfaces.
  • Experience selecting and configuring industrial cameras, lenses, lighting, filters, sensors, and related vision hardware.
  • Experience developing 2D and/or 3D inspection applications using commercial machine-vision platforms or image-processing libraries.
  • Experience integrating machine-vision systems with PLCs, robots, HMIs, motion systems, or other industrial automation equipment.
  • Strong analytical and troubleshooting skills with the ability to identify root causes across optical, software, electrical, networking, and mechanical systems.
  • Ability to independently perform technical feasibility evaluations and communicate application limitations and risks.
  • Strong written and verbal communication skills, including the ability to communicate technical issues with customers and multidisciplinary engineering teams.
  • Willingness to travel to customer manufacturing facilities and support equipment installation, testing, runoff, commissioning, and production launch.
  • Experience with Zebra Aurora Vision Studio, Cognex VisionPro, Keyence, HALCON, or similar machine-vision platforms.

Preferred
  • Experience with advanced imaging techniques such as photometric stereo, polarization, HDR imaging, telecentric optics and similar.
  • Experience developing multi-camera or distributed machine-vision systems.
  • Experience with deep-learning-based machine-vision inspection.
  • Automotive or manufacturing experience.
  • A3 Certified Vision Professional (CVP) – Advanced certification.
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