Job Description

GM does not provide immigration-related sponsorship for this role. Do not apply for this role if you will need GM immigration sponsorship now or in the future. This includes direct company sponsorship, entry of GM as the immigration employer of record on a government form, and any work authorization requiring a written submission or other immigration support from the company (e.g., H1-B, OPT, STEM OPT, CPT, TN, J-1, etc.)

To help facilitate administration of relocation benefits if you are selected, please apply using the permanent address you would move from.

Work Arrangement:
Hybrid: This internship is categorized as hybrid. The selected intern is expected to report to the office up to three times per week or as determined by the team.

Locations:

Mountain View, California

About the Team:

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.

About the Role:

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.

Key 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.

Required Qualifications:

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

Preferred Qualifications:

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

Compensation:

The monthly salary range for this role is $7,300 – $8,600 per month

GM will provide a one-time lump sum taxable stipend payment to eligible students selected for the 2026 Student Program.

What you’ll get from us (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

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

From day one, we're looking out for your well-being–at work and at home–so you can focus on realizing your ambitions. Learn how GM supports a rewarding career that rewards you personally by visiting Total Rewards resources.

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

General Motors offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, email us or call us at 800-865-7580. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.

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