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Computer Vision Engineer Jobs in Ann Arbor, MI (NOW HIRING)

ECE Chair

Ann Arbor, MI ยท On-site

He or she must also possess strong leadership abilities, vision, and a broad appreciation for the diverse perspectives within electrical and computer engineering. The College of Engineering is ...

Sr Engineer, SteeringGear

Novi, MI ยท On-site

$98K - $134K/yr

Technical Excellence: Uphold the vision of engineering excellence and serve as a source of ... Strong capability in CAD/FEA part and system design, validation, and development engineering for ...

Sr Engineer, SteeringGear

Novi, MI ยท On-site

$98K - $134K/yr

Technical Excellence: Uphold the vision of engineering excellence and serve as a source of ... Strong capability in CAD/FEA part and system design, validation, and development engineering for ...

Showing results 41-60

Computer Vision Engineer information

See Ann Arbor, MI salary details

$47.4K

$118.9K

$134.5K

How much do computer vision engineer jobs pay per year?

As of Aug 9, 2026, the average yearly pay for computer vision engineer in Ann Arbor, MI is $118,882.00, according to ZipRecruiter salary data. Most workers in this role earn between $109,100.00 and $128,600.00 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 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 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 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 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 popular job titles related to Computer Vision Engineer jobs in Ann Arbor, MI? For Computer Vision Engineer jobs in Ann Arbor, MI, the most frequently searched job titles are:
What job categories do people searching Computer Vision Engineer jobs in Ann Arbor, MI look for? The top searched job categories for Computer Vision Engineer jobs in Ann Arbor, MI are:
What cities near Ann Arbor, MI are hiring for Computer Vision Engineer jobs? Cities near Ann Arbor, MI with the most Computer Vision Engineer job openings:
Infographic showing various Computer Vision Engineer job openings in Ann Arbor, MI as of August 2026, with employment types broken down into 92% Full Time, and 8% Contract. Highlights an 84% In-person, 8% Hybrid, and 8% Remote job distribution, with an average salary of $118,882 per year, or $57.2 per hour.

Software Engineer II, Calibration

Torc Robotics

Ann Arbor, MI โ€ข On-site, Remote

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 12 days ago


Job description

About the Company
At Torc, we have always believed that autonomous vehicle technology will transform how we travel, move freight, and do business.
A leader in autonomous driving since 2007, Torc has spent over a decade commercializing our solutions with experienced partners. Part of the Daimler family, we are focused solely on developing software for automated trucks to transform how the world moves freight.
Join us and catapult your career with the company that helped pioneer autonomous technology, and the first AV software company with the vision to partner directly with a truck manufacturer.
Meet the Team
The Autonomous Driving Kit Component Enablement & Calibration (ADkit CE&E) team plays a vital role in ensuring the accuracy and reliability of perception systems across our autonomous vehicle platform.
We are currently seeking a Software Engineer who is enthusiastic about thriving in a hands-on environment and ready to grow with the team and leading our way toward productization.
We develop, research and design scalable solutions to calibrate and configure the ADKit components to their peak operational possible state. We work with multi-modal sensors systems including cameras, Lidars, radars and IMU on real vehicles and Hardware-in-the-Loop systems to develop our best-in-class sensors spatial orientation. Our contribution directly supports the safety, performance, and robustness of autonomous driving capabilities.
We design adaptability into our software to support the wide range of ADkit sensor configuration needed to keep our truck generation operation on the path to productization. The team engages with diverse stakeholder, spanning from commercial partners to end customers, to reduce calibration related obstacle associated with adopting autonomous trucking.
Your role will make a significant impact on the future of trucking and autonomous technology as we look to Drive the Future of Freight.
What You'll Do
As a Software Engineer on AdKit CE&C, you will be directly involved in bringing our software solution toward its long-term implementation. To successfully accomplish this, you would need to:
  • Own the design and architecture for a scalable sensor calibration pipeline in C++, leveraging available libraries (OpenCV, linear algebra libraries) for real-time and offline calibration.
  • Deep expertise in linear algebra to lead the design and implementation of spatial computational system for multi-modals sensor platforms. Apply advanced mathematical rigor using Lie groups, quaternions, and 3D transformations to ensure accurate spatial calibration.
  • Lead the development of specialized dedicated libraries allowing sensor-to-sensor extrinsic calibration (lidar-camera, imu-lidar, etc.) using multi-sensor targetless detections during robotics missions.
  • Experience with camera intrinsic and extrinsic calibration.
  • Drive the design and maintenance of simulation tools and data pipelines for sensor modeling, calibration validation, and large-scale regression testing.
  • Collaborate cross-functionally with perception, simulation, and platform teams to define calibration requirements, set best practices, and ensure robustness across hardware configurations and software releases.
  • Establish and maintain CI/CD-integrated calibration workflows using Docker, Bazel, and Git to enable reproducible, automated testing and deployment.
  • Lead deep-dive debugging and root-cause analysis of complex sensor alignment issues in vehicle logs and simulation using ROS tools, rviz, and custom visualization utilities.
  • Mentor junior engineers and contribute to technical reviews, fostering a culture of high-quality software design and code excellence.

What You'll Need to Succeed
  • Bachelor's Degree in Computer Science, Robotics, Electrical Engineering, or a related field with 5-7+ years of experience (or a Master's Degree with 3-5+ years of experience).
  • Proven expertise in Python and C++ for algorithm development, system design, and high-performance tooling.
  • Advanced experience with OpenCV, ROS, and numerical libraries for computer vision and robotics applications.
  • Deep understanding of multi-sensor calibration (camera, Lidar, IMU) in robotics or autonomous systems.
  • Strong mathematical foundation in 3D geometry, non-linear optimization, and matrix math, including SE(3) and SO(3) transformations.
  • Proficiency in Linux development, version control (Git), containerization (Docker), and build systems (Bazel).
  • Demonstrated experience designing scalable software architectures and leading technical initiatives.
  • Excellent problem-solving skills and ability to drive cross-team technical alignment.

Bonus Points!
  • Familiarity with non-linear least squares solvers (e.g., Ceres, g2o) and large-scale optimization.
  • Background in sensor simulation, synthetic data generation, or validation frameworks.
  • Prior contributions to ROS-based open-source calibration or robotics tools.
  • Experience influencing technical roadmaps and defining long-term software strategies.
  • Uses vim as a primary editor (yes, still really).
  • Willingness to travel occasionally.

Work Location: For this position, we are open to hiring in Ann Arbor, MI (U.S.) office work locations in a hybrid capacity. We are also open to hiring Remote in the United States.
Perks of Being a Full-time Torc'r
Torc cares about our team members and we strive to provide benefits and resources to support their health, work/life balance, and future. Our culture is collaborative, energetic, and team focused. Torc offers:
  • A competitive compensation package that includes a bonus component and stock options
  • 100% paid medical, dental, and vision premiums for full-time employees
  • 401K plan with a 6% employer matchFlexibility in schedule and generous paid vacation (available immediately after start date)Company-wide holiday office closures
  • AD+D and Life Insurance

At Torc, we're committed to building a diverse and inclusive workplace. We celebrate the uniqueness of our Torc'rs and do not discriminate based on race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, veteran status, or disabilities.
Even if you don't meet 100% of the qualifications listed for this opportunity, we encourage you to apply.
Our compensation reflects the cost of labor across several geographic markets. Pay is based on a number of factors and may vary depending on job-related knowledge, skills, and experience. Torc's total compensation package will also include our corporate bonus and stock option plan. Dependent on the position offered, sign-on payments, relocation, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits.
Hiring Range for Job Opening
US Pay Range
$139,000-$166,800 USD