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Role: Senior Robotic AI-Perception Engineer
Location: Warren, MI (Onsite from Day 1)
Job Type: W2 Contract
Main Skills: Senior Robotic AI-Perception Engineer (AI/ML, perception, computer vision, Python, TensorFlow and/or PyTorch)
Key Responsibilities:
Design, develop, and implement perception algorithms for segmentation, scene understanding, object detection and localization, classification, and dynamic tracking.
Integrate AI and computer vision algorithms with ROS (Robot Operating System) for real-time deployment on autonomous robots (e.g., mobile manipulators).
Design and maintain cloud-based pipelines for data collection, annotation, preprocessing, model training, and evaluation.
Collaborate with hardware engineers, software engineers, and domain experts to integrate with mapping, motion planning, and controls.
Develop offline tools to test and validate perception models in both simulation and real-world environments.
Stay updated with emerging technologies and best practices in robotic perception; lead and participate in academic and industrial collaborations.
Generate intellectual property, document results, and publish papers.
Required Qualifications:
Passion for robotics and a strong desire to accelerate the application of robotics with AI.
Master's or Ph.D. in Computer Science, Electrical Engineering, Robotics, or a related field (or Bachelor's degree with exceptional track record).
3 years of experience developing and deploying AI/ML, perception, and computer vision (e.g., mono and stereo cameras, RGB-D, event camera, LiDAR) on robotic systems.
Proficiency in Python or C with hands-on experience in deep learning frameworks such as TensorFlow and PyTorch.
Solid understanding of robotics fundamentals, perception and navigation methods (e.g., SLAM, planning), and their typical strengths and shortcomings.
Consistently seeks opportunities and embraces challenges to drive self-growth and improvement.
Preferred Qualifications:
Ph.D. in Computer Science, Machine Learning, Robotics, Computer Vision, or a related research field.
Hands-on robotics experience, such as autonomous vehicles (AV), ADAS, or industrial automation systems in manufacturing environments.
Experience with robotics frameworks such as ROS/ROS2 (e.g., Nav2, MoveIt).
Understanding of CI/CD pipelines and modern software development practices.
Role: Senior Robotic AI-Perception Engineer
Location: Warren, MI (Onsite from Day 1)
Job Type: W2 Contract
Main Skills: Senior Robotic AI-Perception Engineer (AI/ML, perception, computer vision, Python, TensorFlow and/or PyTorch)
Key Responsibilities:
Design, develop, and implement perception algorithms for segmentation, scene understanding, object detection and localization, classification, and dynamic tracking.
Integrate AI and computer vision algorithms with ROS (Robot Operating System) for real-time deployment on autonomous robots (e.g., mobile manipulators).
Design and maintain cloud-based pipelines for data collection, annotation, preprocessing, model training, and evaluation.
Collaborate with hardware engineers, software engineers, and domain experts to integrate with mapping, motion planning, and controls.
Develop offline tools to test and validate perception models in both simulation and real-world environments.
Stay updated with emerging technologies and best practices in robotic perception; lead and participate in academic and industrial collaborations.
Generate intellectual property, document results, and publish papers.
Required Qualifications:
Passion for robotics and a strong desire to accelerate the application of robotics with AI.
Master's or Ph.D. in Computer Science, Electrical Engineering, Robotics, or a related field (or Bachelor's degree with exceptional track record).
3 years of experience developing and deploying AI/ML, perception, and computer vision (e.g., mono and stereo cameras, RGB-D, event camera, LiDAR) on robotic systems.
Proficiency in Python or C with hands-on experience in deep learning frameworks such as TensorFlow and PyTorch.
Solid understanding of robotics fundamentals, perception and navigation methods (e.g., SLAM, planning), and their typical strengths and shortcomings.
Consistently seeks opportunities and embraces challenges to drive self-growth and improvement.
Preferred Qualifications:
Ph.D. in Computer Science, Machine Learning, Robotics, Computer Vision, or a related research field.
Hands-on robotics experience, such as autonomous vehicles (AV), ADAS, or industrial automation systems in manufacturing environments.
Experience with robotics frameworks such as ROS/ROS2 (e.g., Nav2, MoveIt).
Understanding of CI/CD pipelines and modern software development practices.