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Senior Computer Vision Engineer Jobs in Michigan

Epitec

Manufacturing Engineer

Southfield, MI · On-site

$95K/yr

Manufacturing Engineer (Job Code: 1393) Duties: Responsible for establishing routings, methods ... computer vision, and Discrete and Continuous Signals and Systems to perform assigned duties; and ...

Torc Robotics

Senior, ML Engineer - VLM

Ann Arbor, MI · On-site +1

$102K - $140K/yr

Mentors and guides engineers within the group. * Bachelor's Degree in Computer Science, Robotics ... Computer Vision & Deep Learning - model training and at least two of: 2D/3D Object Detection ...

Torc Robotics

Senior, ML Engineer - VLM

Ann Arbor, MI

$102K - $140K/yr

Mentors and guides engineers within the group. * Bachelor's Degree in Computer Science, Robotics ... Computer Vision & Deep Learning - model training and at least two of: 2D/3D Object Detection ...

Eccalon LLC

AI Expert Robotics - onsite

Detroit, MI

Develop and optimize computer vision, sensor fusion, and autonomy solutions for robotics applications * Collaborate with mechanical, electrical, and software engineering teams to ensure end-to-end ...

Venteon

Senior Manufacturing Engineer

Saint Clair, MI · On-site

$86K - $117K/yr

Medical / Dental / Vision * 401k Responsibilities of the Senior Manufacturing Engineer * Plant ... Use Auto Cad for layout and other design projects. * Oversee and manage equipment installations ...

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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 Aug 12, 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 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 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 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, 78% Full Time, 15% Part Time, 1% Temporary, and 5% Contract. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution, with an average salary of $110,306 per year, or $53 per hour.

Sr. Vision Applications Engineer

General Motors

Warren, MI • On-site

Full-time

Posted 8 days ago

General Motors rating

8.2

Company rating: 8.2 out of 10

General Motors

Based on 306 frontline employees who took The Breakroom Quiz

7.4

Company rating compared to similar companies: 7.4 out of 10

Automakers average

Based on 6,274 frontline employees who took The Breakroom Quiz

Job description

Job Description
At General Motors, our product teams are redefining mobility. Through a human-centered design process, we create vehicles and experiences designed not just to be seen, but to be felt. From breakthrough hardware and battery systems to intuitive design, intelligent software, and next-generation safety and entertainment features, we're turning today's impossible into tomorrow's standard.
Every day, our products move millions of people as we work to make driving safer, smarter, and more connected on a global scale.
The Role
The Vision Applications Engineer is responsible for developing, maintaining, and supporting global machine vision applications, scanning technologies, and standards. This role requires deep expertise in current vision systems, awareness of emerging imaging trends including AI, and hands-on ability to solve complex vision system challenges. The position also plays a key role in leading and maintaining global machine vision standards across manufacturing.
What You'll Do
  • Support vision applications across manufacturing centers and execution teams
  • Review manufacturing system requirements and design robust vision applications
  • Create and document scalable vision applications for error proofing, robot guidance, and part quality
  • Partner with manufacturing engineering teams and regional execution teams to gather requirements and improve solutions
  • Interface with vision equipment and integration suppliers
  • Develop vision system hardware and software designs, including devices, power distribution, I/O networks, software, and cost estimating tools
  • Ensure designs comply with GCCH, GCCS, and Global Robot Standards
  • Supervise contractor detailed designs when needed
  • Specify vision system components, functional requirements, and integration methods
  • Evaluate and validate new vision technologies for manufacturing use
  • Provide on-site and remote support for startup, troubleshooting, reprogramming, diagnostics, and plant vision issues
  • Develop training and documentation for global deployment of standard vision systems
  • Educate regional execution teams on standard vision applications
  • Partner with execution teams and vision SMEs to strengthen GM's competitive advantage in vision and imaging systems
  • Investigate industry trends in vision AI and emerging technologies
  • Ensure cyber security requirements are included in vision system components
  • Develop vision applications to support virtual manufacturing
  • Support R&D and IT teams in developing custom GM applications
  • Work with suppliers to identify cost reduction opportunities
  • Coordinate and support manufacturing lab initiatives, proof of concepts, and pilot deployments in labs and plant facilities
  • Provide status updates to management
  • Mentor students and new hires
  • Drive systemic issues, lessons learned, and closure actions to completion
  • Occasional travel is required within North America and globally to OEM and plant sites

Required Qualifications
  • Bachelor's degree in Engineering or a related field
  • Extensive technical knowledge in machine vision
  • Strong technical knowledge of robotics, AI, and automation processing
  • Extensive experience with Zebra (Matrox), Keyence, Photoneo, or related vision technologies
  • Experience developing and integrating vision applications
  • Ability to troubleshoot complex vision-related issues
  • Strong analytical, problem-solving, communication, and interpersonal skills
  • Ability to manage multiple complex assignments with a high level of autonomy and accountability
  • Ability to provide technical direction, mentoring, and project leadership
  • Self-motivated with the ability to multitask and drive continuous improvement
  • Demonstrated initiative and strong individual technical contributions
  • Proven project management skills and ability to teach others
Preferred Qualifications
  • AIA Certified Vision Professional (Basic or Advanced)
  • Experience with additional vision technologies and suppliers
  • 2-3 years of plant assignment experience
  • 10+ years of experience in the design, build, and startup of manufacturing systems
  • Knowledge of artificial intelligence and machine learning
  • Experience with manufacturing and industrial automation including material-handling systems, AMRs, cobots, and virtual commissioning
  • Understanding of plant floor operations and product design manufacturability
  • Global project experience across regions
  • Programming knowledge in C++ and Python
  • Experience with ROS/ROS2
  • Familiarity with NVIDIA Isaac, Omniverse, or similar 3D/manufacturing simulation environments
  • Familiarity with Teamcenter, Siemens Technomatix Process Simulate, or similar tools
  • Ongoing development of technical expertise
  • Recognition for outstanding contributions
Why Join GM
This is an opportunity to help shape the future of manufacturing automation at General Motors by advancing global vision standards, supporting plant execution, and developing next-generation machine vision solutions.
About GM
Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all.
Why Join Us
We believe we all must make a choice every day - individually and collectively - to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team.
Benefits Overview
From day one, we're looking out for your well-being-at work and at home-so you can focus on realizing your ambitions. Learn how GM supports a rewarding career that rewards you personally by visiting Total Rewards resources.
Non-Discrimination and Equal Employment Opportunities (U.S.)
General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers.
All employment decisions are made on a non-discriminatory basis without regard to sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy or maternity status, sexual orientation, gender identity, status as a veteran or protected veteran, or any other similarly protected status in accordance with federal, state and local laws.
We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visit How we Hire.
Accommodations
General Motors offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, emailus or call us at 1-800-865-7580. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.

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About General Motors

Sourced by ZipRecruiter

General Motors is a company with global scale and capabilities, headquartered in Detroit, Michigan, with employees around the world. The company employs over 165,000 people, serves six continents, operates across 22 time zones, and has a diverse workforce speaking 75 languages1. GM’s vision is to drive the world forward by pioneering innovations that move and connect people to what matters. The company is working towards an all-electric future with its new Ultium Platform and is pushing transportation options beyond our wildest imaginations with autonomous vehicles. GM is also committed to becoming the most inclusive company in the world.

Industry

Transportation equipment manufacturing

Company size

10,000+ Employees

Headquarters location

Detroit, MI, US

Year founded

1908

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