Senior Robotic AI-Perception Engineer - W2

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, Tensor Flow and/or PyTorch)

• 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.

• 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 Tensor Flow 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.

• 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, Move It).
• Understanding of CI/CD pipelines and modern software development practices.