2026 Summer Intern – Software Engineer, Autonomous Robot (Masters Degree) jobs in United States
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General Motors · 14 hours ago

2026 Summer Intern – Software Engineer, Autonomous Robot (Masters Degree)

General Motors is seeking highly motivated interns to join their Robotics Software team, focusing on the development of autonomous robotic systems. The intern will engage in hands-on experimentation, algorithm development, and integration of multi-modal sensor data to enhance AI-driven robotic solutions.

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H1B Sponsor Likelynote

Responsibilities

Evaluate and test LiDAR-based localization repositories
Investigate Gaussian splatting localization pipelines and assess feasibility for embedded platforms
Explore machine-learning techniques for feature point correspondence between image frames
Implement and benchmark place recognition algorithms using computer vision
Integrate dynamic object handling into localization workflows
Develop multi-agent map-building and construction processes (offboard)
Design sensor fusion strategies for heterogeneous modalities (e.g., 3D LiDAR, 2D LiDAR, monocular camera, IMU, wheel odometer)
Apply post-processing optimization algorithms (e.g., factor graph and pose graph)
Create, curate, and manage datasets for training AI models
Ensure data quality and diversity for robust algorithm development
Upgrade the existing simulation environment to support generation of realistic 3D LiDAR data and photorealistic image rendering for advanced perception testing
Design and implement adversarial scenarios to identify potential safety vulnerabilities and enhance overall system robustness
Develop perception solutions leveraging joint representation of Bird’s Eye View (BEV) and DETR-based object detection using multi-modality inputs
Enhance robustness in perception pipelines for dynamic environments
Research and implement denoising diffusion-based motion planning algorithms
Reinforcement learning in simulation engine to improve path generation policy
Evaluate performance and scalability of AI-driven planning approaches in real-world scenarios
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

Qualification

C++PythonCamera-based localizationLiDAR-based localizationMachine learningDeep learning frameworksROS2Data engineeringTeam collaborationProblem-solving

Required

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

Preferred

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

General Motors

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General Motors is an automotive company that designs, produces, markets, and distributes vehicles and vehicle parts.

H1B Sponsorship

General Motors has a track record of offering H1B sponsorships. Please note that this does not guarantee sponsorship for this specific role. Below presents additional info for your reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (787)
2024 (740)
2023 (450)
2022 (795)
2021 (748)
2020 (452)

Funding

Current Stage
Public Company
Total Funding
$8.51B
Key Investors
US Department of Energy
2025-05-05Post Ipo Debt· $2B
2024-10-31Grant· $8M
2024-07-11Grant· $500M

Leadership Team

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Mary Barra
Chair and Chief Executive Officer
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Tony Cervone
Senior Vice President, Global Communications
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Company data provided by crunchbase