Senior Robotics Engineer - Perception/Computer Vision
Senior Robotics Engineer - Perception/Computer Vision
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Job Description
Job Description
Work Arrangement
Onsite - This position requires the employee to be onsite full time. The primary work location will be at the General Motors Global Technical Center in Warren MI.
The Role
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
Additional Job Description
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.
Masters in Computer Science Electrical Engineering Robotics or a related field (or Bachelors 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.
This role may be eligible for relocation benefits.
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About GM
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Why Join Us
We believe we all must make a choice every day individually and collectively to drive meaningful change through our words our deeds and our culture. Every day we want every employee to feel they belong to one General Motors team.
Benefits Overview
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Non-Discrimination and Equal Employment Opportunities (U.S.)
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We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required where applicable to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more visit How we Hire.
Accommodations
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Required Experience:
Senior IC
Employment Type
Full-Time
