Job Description

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, MoveIt2).

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.

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About GM

Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all.

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.)

General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers.

All employment decisions are made on a non-discriminatory basis without regard to sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy or maternity status, sexual orientation, gender identity, status as a veteran or protected veteran, or any other similarly protected status in accordance with federal, state and local laws.

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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