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Staff Robotics Engineer, Perception/Computer VisionGeneral MotorsUnited States
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General Motors

Staff Robotics Engineer, Perception/Computer Vision

  • +2
  • +5
  • US
    United States
Postuler Maintenant
  • +2
  • +5
  • US
    United States

À propos

Staff Robotics Engineer, Perception/Computer Vision
Work Arrangement:
Onsite - This position requires the employee to work onsite full time. The primary work location will be Warren, MI or Mountain View, CA. The Role:
We are seeking a Staff Robotics Engineer, Perception/Computer Vision, to join our Manufacturing Technology Development (MTD) team within General Motor's Research and Development organization. In this role, you will lead and 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. In GM MTD:
We leverage advanced robotics, machine learning, and artificial intelligence to solve complex manufacturing challenges at unprecedented scale. Joining our 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 robotic systems are at the forefront of the industry. What You'll Do: Lead, develop and deploy cutting-edge perception pipeline and algorithm for segmentation, scene understanding, object detection and localization, pose estimation, dynamic tracking, etc Architect scalable AI model training and inference systems, ensuring robustness, efficiency, and real-world applicability Design and maintain 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 Mentor and guide cross-functional teams, fostering technical excellence and knowledge sharing across MTD and ARC teams Shape technical strategy, identifying emerging trends and translating them into actionable R&D initiatives Stay updated with emerging technologies and best practices in robotic perception and lead and participate in academic / industrial collaborations Generate intellectual property, document results and publish papers Your Skills & Abilities (Required Qualifications): 8+ 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 methods and their typical strengths & shortcomings Consistently seeking opportunities and embracing challenges to drive self-growth and improvement Passionate about robotics, with 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 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 2) Understanding of CI/CD pipelines and modern software development practices Compensation:
The compensation information is a good faith estimate only. It is based on what a successful applicant might be paid in accordance with applicable state laws. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position, as well as geography of the selected candidate. The salary range for this role is $185,000 - $285,000. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position. Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance. Benefits: GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more. This role may be eligible for relocation benefits.

Compétences idéales

  • Computer Vision
  • Deep Learning
  • PyTorch
  • Segmentation
  • TensorFlow
  • United States

Expérience professionnelle

  • Machine Learning
  • Computer Vision

Compétences linguistiques

  • English