2026 Summer Intern – Software Engineer, Autonomous Robot (Masters Degree)
General Motors is seeking highly motivated interns to research and evaluate AI-driven approaches for autonomous robotic systems. The role involves hands-on experimentation, algorithm development, and integration of multi-modal sensor data to advance robotic systems.
Responsibilities
- Design and implement high-precision localization methods using camera, LiDAR, wheel encoder and inertial sensors
- Develop scalable and real-time localization module optimized for autonomous robotic systems
- 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
- Adjust and fine-tune system parameters to improve accuracy and robustness
Skills
- Currently enrolled in a Masters Degree and completed at least 1 year of Masters 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
- Expertise in one or more of the technical areas: Camera- and LiDAR-based localization algorithms, statistical estimation theory, and practices such as pose graph and factor graph optimization and implementation
- Understanding state-of-the-art solutions in place recognition for addressing loop-closure detection issues
- Perception, e.g., feature embedding, object detection, bird's eye view (BEV) semantic representation
- Motion path planning algorithms, e.g., Nav2
- Simulation engines: e.g., IsaacSim, IsaacLab, and etc
- Dataset curation and annotation tools
- Experience optimizing algorithm/software to balance performance within resource constraints
- Familiarity with ROS2 or other robotics middleware
- 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
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
Company Overview
Company H1B Sponsorship