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3D Computer Vision Jobs in Michigan (NOW HIRING)

AI/Computer Vision Engineer

Lansing, MI · On-site

$113K - $133K/yr

AI/Computer Vision Engineer We are looking for an innovative AI/Computer Vision Engineer to join ... Strong understanding of image processing, feature extraction, and 3D perception techniques.

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:

SSI offers competitive salaries, health, vision, prescription, and dental Insurance options, short ... Individuals in this CAD position will be trained in house to develop both 2D & 3D CAD drawings for ...

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 ...

SSI offers competitive salaries, health, vision, prescription, and dental Insurance options, short ... Individuals in this CAD position will be trained in house to develop both 2D & 3D CAD drawings for ...

As a team, we are on an improvement journey in pursuit of our vision: to become the ultimate ... Translate mechanical designs (CAD, layouts, specifications) into accurate Emulate3D models with ...

CAD Designer

Adrian, MI

$24.25 - $33.50/hr

... in 3D CAD modeling and detail drawing creation; formal training in SOLIDWORKS is preferred ... Programs Vision Voluntary Benefits include Critical Illness, Accident Insurance, and Hospital ...

CAD Designer

Adrian, MI

$24.25 - $33.50/hr

Proficient in 3D CAD modeling and detail drawing creation; formal training in SOLIDWORKS is ... Vision * Voluntary Benefits include Critical Illness, Accident Insurance, and Hospital Indemnity

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 ...

Research, develop, and prototype novel algorithms in computer vision, deep learning, and autonomous systems. * Work on topics such as object detection, pose estimation, scene understanding, 3D ...

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3D Computer Vision information

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 are popular job titles related to 3D Computer Vision jobs in Michigan? For 3D Computer Vision jobs in Michigan, the most frequently searched job titles are:
What cities in Michigan are hiring for 3D Computer Vision jobs? Cities in Michigan with the most 3D Computer Vision job openings:

AI/Computer Vision Engineer

Kasmo Global

Lansing, MI • On-site

$113K - $133K/yr

Other

Posted 7 days ago


Job description

AI/Computer Vision Engineer

We are looking for an innovative AI/Computer Vision Engineer to join our team. You will be responsible for developing and optimizing algorithms that enable collaborative robot (cobot) manipulators to perform advanced tasks such as object detection, obstacle avoidance, inventory tracking, and path optimization. This role involves a combination of artificial intelligence, machine learning, and computer vision techniques applied to real-world scenarios in dynamic warehouse and manufacturing environments. As part of the team, you will collaborate closely with robotics, software, and control systems engineers to ensure seamless integration of vision and AI-based solutions into our robotics systems. Your work will play a critical role in advancing the capabilities of our robots to navigate complex environments and carry out tasks with precision and efficiency.

Responsibilities
  • Design, develop, and implement computer vision and AI algorithms for segmentation, object detection, classification, localization, and tracking.
  • Create and optimize AI models for warehouse-specific tasks such as inventory tracking, object picking, and path optimization.
  • Utilize deep learning frameworks (e.g., TensorFlow, PyTorch) for training and deploying machine learning models on embedded systems.
  • Integrate AI and computer vision algorithms with ROS (Robot Operating System) for real-time deployment on autonomous robots.
  • Perform data collection, labeling, and preprocessing for training AI models.
  • Optimize the performance of AI models for resource-constrained environments, ensuring low-latency inference on embedded hardware.
  • Collaborate with robotics engineers to integrate AI and vision systems with sensors (cameras, LIDAR, etc.) and control systems.
  • Test and validate AI models in both simulation and real-world environments.
  • Document the development process, algorithms, and results for scalability and implementation.
Essential Skills & Qualifications
  • Education: PhD (or thesis-based master's with 3+ years of experience) in Computer Science, Electrical Engineering, Robotics, or a related field.

  • Experience: 3+ years of experience in AI/ML, perception, computer vision, and localization for robotics applications.

  • Proficiency in developing and deploying AI/ML algorithms, including deep learning techniques for object detection and tracking.

  • Strong understanding of image processing, feature extraction, and 3D perception techniques.

  • Proficiency in Python, C++, and deep learning frameworks (TensorFlow, PyTorch).

  • Experience with ROS (Robot Operating System) for real-time robotics applications.

  • Experience in deploying AI models on resource-constrained hardware and optimizing performance for real-time inference.

  • Experience in data collection, labeling, and preprocessing for AI training.

  • Strong analytical skills for developing solutions for emerging problems and continuous improvement.

Additional Skills & Qualifications
  • Experience with SLAM (Simultaneous Localization and Mapping) and multi-sensor fusion for improved navigation and localization.

  • Familiarity with point cloud processing for 3D environment understanding and obstacle detection.

  • Experience with GPU programming and CUDA for accelerating AI model inference.

  • Knowledge of cloud-based AI services for data processing, training, or deployment.

  • Understanding of safety and compliance standards in industrial robotics.

Work Environment

This role requires onsite work at a research and development facility. The environment is dynamic and involves collaboration with a multidisciplinary team of engineers. You will be working with cutting-edge technologies and equipment, including robot arms and Client RealSense cameras, in a setting that prioritizes innovation and precision.