2026 Summer Intern – Software Engineer, Autonomous Robot (Bachelors Degree)
About The Position
The Robotics Software team is developing the next generation of autonomous robotic systems, focusing on autonomous mobile robots (AMRs) and intelligent robotic platforms. We develop full-stack robotics capabilities—from perception and planning to control and system integration—bringing innovative, real-world autonomous solutions to the future of the work. We are seeking a self-motivated intern to prototype AI-driven sense–plan–act architectures for autonomous robotic systems in manufacturing plants. You will participate in the development of a camera- and LiDAR-based wheel-drive robot and integrating software with physical and simulation platforms. You will work cross-functionally with autonomy experts on system-level validation. The role also includes evaluating AI-driven methods for localization/map construction, perception, motion planning, scenario simulation, and data engineering, with hands-on experimentation, algorithm development, and multi-modal sensor integration.
Requirements
- Currently enrolled in a bachelor's program in Robotics, Computer Science, Electrical/Mechanical Engineering, or related technical fields.
- Proficiency in C++ or Python.
- Adhere to continuous development and deployment practices in robotic software development
Nice To Haves
- Machine learning knowledge and practice experience.
- Proficiency with deep learning frameworks and toolchains like PyTorch and TensorFlow
- Familiarity with repositories like DETR, BEVformer, BEVfusion, SAMv2, Ceres Library/GTSAM, ORB-SLAM, VINS-Mono, and etc.
- Experience working with cloud-based data collection and data pipeline systems.
- AV/ADAS integration or industrial automation experience is a bonus.
- Graduating between December 2026 and June 2027.
- Experience or coursework in one or more of the following areas: Camera- and LiDAR-based localization algorithms Statistical estimation theory (e.g., pose graph or factor graph techniques) Place recognition and loop-closure detection Perception tasks such as object detection or semantic representation Motion planning algorithms and platforms (e.g., Nav2) Working with simulation tools (e.g., IsaacSim, IsaacLab) Dataset handling or annotation Software optimization for resource-constrained systems
- Familiarity with ROS2 or other robotics middleware
Responsibilities
- Support the design and implementation of high-precision localization methods using camera, LiDAR, wheel encoder and inertial sensors.
- Assist in developing scalable and real-time localization module optimized for autonomous robotic systems.
- Help to create engineering specifications and test procedures to ensure system compliance.
- Evaluate and benchmark the performance of systems.
- Review the state-of-the-art in camera- and LiDAR-based algorithms.
- Troubleshoot using strong knowledge of probabilistic estimation, sensor fusion, and real-time system implementation.
Benefits
- Paid US GM Holidays
- GM Family First Vehicle Discount Program
- Result-based potential for growth within GM
- Intern events to network with company leaders and peers
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What This Job Offers
Career Level
Intern
Number of Employees
5,001-10,000 employees
