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Research and Development Intern-Software Defined Vehicle Research Lab
Research and Development Intern-Software Defined Vehicle Research Lab-December 2024
Flexible / Remote
Dec 20, 2025
ABOUT GENERAL MOTORS
We are committed to advancing an all-electric future that is inclusive and accessible to all as we transition from automaker to platform innovator.
10,000+ employees
Consumer Goods & Services, Technology
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About Research and Development Intern-Software Defined Vehicle Research Lab

  Description

  GM does not provide immigration-related sponsorship, either now or in the future, for this internship role. Do not apply for this role if you currently need GM to provide immigration-related sponsorship for this internship or if you hope to receive such sponsorship for this INTERNSHIP in the future (to be able to complete the internship). However, we are able to consider candidates who are currently authorized to work for GM in the US for the duration of this internship, even if they may require future immigration sponsorship for a separate entry-level role, so long as it is understood that no immigration-related sponsorship will be offered to participants in connection with this specific internship.

  At General Motors we pride ourselves on designing, building and selling the world's best vehicles. We are seeking a new generation of visionaries to help launch bold engineering and business initiatives, and shape new directions for General Motors. As an intern or co-op student through our EXCEL (Exploring Careers through Experiential Learning) Program you will gain hands-on career specific experiences to maximize your real world potential.

  Collaborating on innovation challenges, interacting with Industry leaders, attending cross-functional networking events and volunteering for community service activities.

  Work Arrangement: Hybrid: Position does not require an employee to be on-site full-time but the general expectation is that the employee be onsite an average of three (3) days each week. Some roles may require the individual to be fully onsite and some may be fully remote.

  The Role:

  At GM, we look to move humanity forward. We translate breakthrough technologies into vehicles and experience that people love. It all starts with research and development.

  In the Software Defined Vehicle Research lab, we transform the mobility experience by creating integrated solutions for autonomous and connected vehicles that our customers love. We are looking for R&D Interns to research, design, and develop groundbreaking technologies in autonomous, vehicle architectures, sensing, connectivity, simulation, and user experience. In this internship, you will plan and execute collaborative research to generate new knowledge and sophisticated technology for our vehicles. Our culture of "Innovate Now" gives you the opportunity to be creative and implement designs that could possibly be driving around in the near future!

  What You'll Do:

  Conduct research and/or experiments to collect required data and validate research ideas in the Software Defined Vehicle Research Lab Document and present results. Depending on the assignment, results could lead to external publications and/or intellectual property Execute technical and special assignments Assist lab management in identifying mega trends in technology and business strategies in the automotive sector Develop and execute specific research plans, including concept generation, development, implementation, and validation Collaborate effectively with peers, management, operations groups, and outside organizations

  Additional Description

  Your Skills & Abilities (Required Qualifications):

  Must be a current PhD student or second year Masters student in Engineering or Science Research experience in Autonomous Vehicle Technology, Artificial Intelligence, Electrical and Software Vehicle Architectures, Connected Vehicles, Simulation Strong theoretical, experimental and software programming skills Ability to work both independently and in teams Consistently demonstrate critical thinking and strong teamwork Effective verbal and written communication skills Excellent persuasion, active listening, delegation, and leadership skills to work effectively with GM internal and external customers

  What Will Give You the Competitive Edge (Preferred Qualifications):

  Prior internship experience in automotive or software industry Programming skills in Python, C/C++ and state of the art AI/ML developer tools Research experience in Generative AI, Machine Learning and Deep Learning algorithms Outstanding interpersonal and relationship management skills to effectively collaborate with varying levels of the organization as needed Demonstrates leadership in field of study, extra-curricular activities or service organizations Strong critical thinking and analytical skills, especially the ability to synthesize large amounts of data involving multiple variables into comprehensive, impactful insights Ability to work on multiple projects simultaneously, leading deliverables and goals Willingness to ask questions, take initiative and be inventive Excellent written and verbal communication skills with the ability to distill sophisticated subjects to a wider audience Emerging partnership and teamwork skills and ability to learn from and share knowledge with co-workers in a rapidly moving environment High level of integrity, ability to deal with ambiguity, takes initiative/self-directed Evidence of strong character with integrity, honesty, accountability and trust

  The salary range for this role is $6100-$8600 , dependent upon class status and degree.

  GM will provide a one-time lump sum taxable stipend payment to eligible students selected for the 2024 Student Program.

  Benefits :

  Benefit options are not available for this role.

  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 aspire to be the most inclusive company in the world. 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, no matter their background, ethnicity, preferences, or location, to feel they belong to one General Motors team.

  Total Rewards | 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.

  Diversity Information

  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 workforce diversity creates an environment in which our employees can thrive and develop better products for our customers. 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

  Equal Employment Opportunity Statement (U.S.)

  General Motors is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.

  Accommodations (U.S. and Canada)

  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 [email protected] 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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