Job Description

Job Title

We are seeking a Senior Robotics Engineer, Perception/Computer Vision to join our Advanced Development team within the Autonomous Robotics Center (ARC).

In this role, you will develop perception features to enable robots with advanced capabilities such as object detection, obstacle avoidance, path optimization and manipulation. This role involves a combination of artificial intelligence and computer vision techniques applied to real-world scenarios in dynamic manufacturing environments.

Joining our ARC organization will provide you with the opportunity to work on cutting-edge technologies, contribute to innovation, and collaborate with a diverse team of experts. You will play a key role in advancing our automation capabilities and ensuring that our electronic systems are at the forefront of the industry.

What You Will Do

• Design, develop, and implement perception algorithms for segmentation, scene understanding, object detection and localization, classification, dynamic tracking, etc.
• Integrate AI and computer vision algorithms with ROS (Robot Operating System) for real-time deployment on autonomous robots, e.g. mobile manipulator.
• Design and maintain cloud-based pipelines for data collection, annotation, preprocessing, model training, and evaluation.
• Collaborate with high-caliber teams of 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 and lead and participate academic/industrial collaborations.
• Generate intellectual property, document results and publish papers

Your Skills & Abilities (Required Qualifications)

• 3+ years of professional experience with a proven track record of developing and deploying AI/ML, perception, computer vision (e.g. mono and stereo cameras, RGB-D, event camera, LiDAR, etc) on robotic systems.
• Proficiency in Python or C++ with hands-on experience on 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 & shortcomings.
• Master's in Computer Science, Electrical Engineering, Robotics, or a related field (or Bachelor's degree with exceptional professional experience)

What Will Give You A Competitive Edge (Preferred Qualifications)

• PhD 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.
• Passionate about robotics, with a strong desire to accelerate the application of robotics with AI.

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