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Flex Time Robot Operating System Jobs in Michigan

AI/Computer Vision Engineer

Lansing, MI ยท On-site

$113K - $133K/yr

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 ...

Enterprise Operating System Director

Troy, MI ยท On-site

$101K - $126K/yr

From vehicles to robotics to energy platforms, our electrical distribution systems enable the next ... Lead the full EOS global program, ensuring on-time execution and alignment across functions and ...

Candidates should have hands-on experience with FANUC robots, 3D vision systems, robotic ... FANUC Certified Robot Operator or Programmer Certification. * Experience with Bin Picking, Vision ...

Candidates should have hands-on experience with FANUC robots, 3D vision systems, robotic ... FANUC Certified Robot Operator or Programmer Certification. * Experience with Bin Picking, Vision ...

Our premium brand, performance-defining products and systems are used primarily on bicycles, side ... for long periods of time Vision abilities required to validate and enter data on computer ...

Flex-N-Gate is a leading manufacturer and supplier of components for the automotive industry ... Installing, repairing, servicing machinery and equipment support systems * Identifying and trouble ...

Our premium brand, performance-defining products and systems are used primarily on bicycles, side ... for long periods of time Vision abilities required to validate and enter data on computer ...

Our premium brand, performance-defining products and systems are used primarily on bicycles, side ... for long periods of time Vision abilities required to validate and enter data on computer ...

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Flex Time Robot Operating System information

What is the difference between Flex Time Robot Operating System vs Robot Programmer?

AspectFlex Time Robot Operating SystemRobot Programmer
CredentialsKnowledge of ROS, programming skillsProgramming certifications, robotics experience
Work EnvironmentRobotics development labs, manufacturingRobotics labs, industrial settings
Industry UsageRobotics software development, automationProgramming and testing robots

Flex Time Robot Operating System focuses on developing and managing robotic software frameworks, while Robot Programmers primarily write and test code for robots. Both roles require programming skills and familiarity with robotics environments, but the OS role emphasizes system integration and software architecture, whereas the programmer role centers on coding and debugging specific robot functions.

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What cities in Michigan are hiring for Flex Time Robot Operating System jobs? Cities in Michigan with the most Flex Time Robot Operating System job openings:

AI/Computer Vision Engineer

Kasmo Global

Lansing, MI โ€ข On-site

$113K - $133K/yr

Other

Posted 6 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.