2026 Summer Intern – Software Engineer, Autonomous Robot (Bachelors Degree)
About The Position
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
