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3D Computer Vision Jobs in Detroit, MI (NOW HIRING)

R&D- Computer Vision Engineering Intern

Troy, MI · On-site

$16 - $20.50/hr

The role requires a basic understanding of computer vision and machine learning technologies, especially for industrial applications like defect detection, 3D reconstruction, quality assurance, and ...

R&D- Computer Vision Engineering Intern

Troy, MI · On-site

$16 - $20.50/hr

The role requires a basic understanding of computer vision and machine learning technologies, especially for industrial applications like defect detection, 3D reconstruction, quality assurance, and ...

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:

Automation Process Engineer

Redford, MI · On-site

$92K - $162K/yr

... 3D computer vision systems for robot guidance and inspection purposes. 2. Designing hardware in CAD software with Inventor or Solidworks. We are offering a salary of $92,622.00 - $162,120.00/yr. You ...

Develop 3D models and detailed 2D drawings using CAD tools (Creo preferred; SolidWorks or ... Medical, Dental, Vision insurance and other voluntary benefit options: benefits begin on the first ...

CAD Designer

Rochester Hills, MI · On-site

$31 - $37/hr

Develop 3D models and detailed 2D drawings using CAD tools (Creo preferred; SolidWorks or ... Medical, Dental, Vision insurance and other voluntary benefit options: benefits begin on the first ...

CAD Designer

Rochester Hills, MI · On-site

$31 - $37/hr

Develop 3D models and detailed 2D drawings using CAD tools (Creo preferred; SolidWorks or ... Medical, Dental, Vision insurance and other voluntary benefit options: benefits begin on the first ...

Manage creation and refinement of 3D CAD models, assemblies, and 2D drawings * Create and refine GD ... What you'll get: * Full benefits: medical, dental, vision, HAS, FSA * 401K with a match and ...

CNC Programmer

Troy, MI

$25 - $34.25/hr

Vision * Short and long term disability * AD&D Insurance/voluntary life insurance * 401 with ... Review and interpret 3D CAD models to determine machining strategy, tool paths, and material ...

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3D Computer Vision information

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How much do 3d computer vision jobs pay per hour?

As of Aug 9, 2026, the average hourly pay for 3d computer vision in Detroit, MI is $20.64, according to ZipRecruiter salary data. Most workers in this role earn between $17.36 and $23.08 per hour, depending on experience, location, and employer.

What is 3D computer vision?

3D computer vision is a field within computer science and artificial intelligence that focuses on enabling computers to interpret and understand visual information from the world in three dimensions. Unlike traditional 2D computer vision, which works with flat images, 3D computer vision uses data from sources like stereo cameras, LiDAR, or depth sensors to reconstruct and analyze the shape, size, and position of objects in a scene. This technology is crucial for applications such as autonomous vehicles, robotics, augmented reality, and medical imaging. By understanding the spatial relationships between objects, 3D computer vision systems can enable machines to interact more effectively with their environment.

What are the key skills and qualifications needed to thrive as a 3d computer vision engineer, and why are they important?

To thrive as a 3D Computer Vision Engineer, you need a solid background in computer vision, mathematics (especially linear algebra and geometry), and programming, often supported by a degree in computer science, engineering, or a related field. Proficiency in Python or C++, experience with libraries like OpenCV and PCL, and familiarity with deep learning frameworks such as TensorFlow or PyTorch are typically required. Strong problem-solving skills, creativity, and effective teamwork help candidates excel in developing novel algorithms and collaborating across disciplines. These skills and qualities are crucial for creating innovative 3D perception systems that meet real-world challenges and drive advancements in areas like robotics, AR/VR, and autonomous vehicles.

What are some common challenges faced by 3D computer vision engineers during project development?

3D Computer Vision engineers often encounter challenges such as managing noisy or incomplete data from sensors, ensuring real-time processing speeds, and integrating algorithms with various hardware platforms. Additionally, adapting solutions to diverse environments—such as changing lighting conditions or object occlusions—requires robust model design and continual testing. Collaboration with cross-functional teams, including hardware engineers and software developers, is key to overcoming these challenges and successfully deploying 3D vision applications.
What cities near Detroit, MI are hiring for 3D Computer Vision jobs? Cities near Detroit, MI with the most 3D Computer Vision job openings:
Infographic showing various 3D Computer Vision job openings in Detroit, MI as of August 2026, with employment types broken down into 1% As Needed, 78% Full Time, 16% Part Time, and 5% Contract. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution, with an average salary of $42,936 per year, or $20.6 per hour.

Computer Vision Perception Engineer (Autonomous Driving)

Apolis

Detroit, MI • On-site

$110K - $129K/yr

Full-time

Re-posted 5 days ago


Job description

Job Summary:
Apolis is seeking a Computer Vision Perception Engineer specializing in Autonomous Driving. The role involves designing and implementing computer vision algorithms for object detection and segmentation using camera and LiDAR data, as well as developing deep learning models for 2D and 3D object detection.
Responsibilities:
• Design and implement computer vision algorithms for object detection and segmentation using camera and LiDAR data fusion.
• Develop deep learning models for 2D and 3D object detection, including implementation and optimization of YOLO, Faster R-CNN, SSD, and transformer-based architectures.
• Create and optimize LiDAR point cloud processing pipelines using PCL and Open3D for 3D object detection and segmentation.
• Implement sensor fusion techniques to combine camera and LiDAR data for enhanced object detection accuracy.
• Develop instance and semantic segmentation algorithms using state-of-the-art models like Mask R-CNN, U-Net, and DeepLab.
• Implement and optimize deep learning models specifically designed for LiDAR point clouds, including PointNet, PointNet++, and other 3D neural network architectures.
• Develop robust perception algorithms that maintain performance in adverse weather conditions such as rain, snow, fog, and low-light scenarios.
• Build and maintain computer vision pipelines using OpenCV for image preprocessing, feature extraction, and geometric transformations.
• Design and implement multi-object tracking systems using Kalman filtering, SORT, and DeepSORT algorithms.
• Work with ROS2 for integration and deployment of perception algorithms.
• Optimize deep learning models for edge deployment and real-time inference performance.
• Develop robust evaluation metrics and testing frameworks for object detection systems.
• Collaborate with cross-functional teams to integrate perception algorithms into larger autonomous systems.
• Stay up-to-date with industry trends and emerging technologies to innovate and improve perception systems.
Qualifications:
Required:
• Strong expertise in computer vision and deep learning for object detection and segmentation tasks.
• Proficiency in deep learning frameworks (PyTorch and TensorFlow) with hands-on experience implementing detection models (YOLO, Faster R-CNN, SSD, RetinaNet, Detectron, etc.).
• Extensive experience with OpenCV for image processing and computer vision applications.
• Solid background in 3D perception using LiDAR point clouds; proficiency with PCL and Open3D libraries.
• Familiarity with LiDAR-specific deep learning models such as PointNet, PointNet++, VoxelNet, and other point cloud neural network architectures.
• Experience in developing and improving perception models for adverse weather conditions (rain, snow, fog) including domain adaptation and robust feature extraction techniques.
• Experience with sensor fusion techniques for combining camera and LiDAR data streams.
• Strong programming skills in Python and C++ for algorithm development and optimization.
• Experience with model optimization techniques for real-time inference.
• Familiarity with 3D geometry, coordinate transformations, and spatial data processing.
• Knowledge of evaluation metrics for object detection and tracking systems (mAP, IoU, custom metrics, etc.).
Company:
Apolis is a IT consultancy that offers provides ERP solutions, hosting, assessment, web and mobile, IT staffing and IT workforce solutions. Founded in 1996, the company is headquartered in El Segundo, USA, with a team of 501-1000 employees. The company is currently Late Stage.