설명
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.
Hybrid: This role is categorized as hybrid. This means the successful candidate is expected to report in office three times per week, at minimum [or other frequency dictated by the business].
The start date for this internship is September 7, 2026.
The Team
At GM, we craft products people crave and experiences they never forget. It all starts with research and development. We are looking for R&D Interns to craft, design, and develop groundbreaking concepts and technologies that will help shape the future of mobility.
In this internship, you will plan and execute collaborative research that applies advanced artificial intelligence, machine learning, and computational methods to complex vehicle and mobility challenges. Projects may support areas such as vehicle development process acceleration, predictive engineering, vehicle safety, energy and propulsion systems, and next-generation research methods that enable faster, smarter, and more scalable engineering decisions.
You will work with technical leaders across GM Research and Development to explore innovative approaches that combine data, physics-based understanding, and modern AI/ML techniques to solve real-world problems. Our culture of innovation gives you the opportunity to be creative, contribute to impactful research, and help develop technologies that could influence the vehicles and systems of the future.
What You Will Do
- Conduct research and/or experiments to collect required data and validate research ideas
- Apply AI/ML, data science, and computational methods to engineering and research problems
- Support development of methods, models, tools, or workflows that accelerate vehicle development and research outcomes
- Assist with analysis of large, complex datasets to generate insights and improve prediction, automation, or decision-making
- Collaborate with technical teams to evaluate emerging technologies and identify opportunities for application in automotive research
- Document and present results; depending on the assignment, work may lead to external publications and/or intellectual property
- Develop and execute specific research plans, including concept generation, development, implementation, and validation
- Collaborate effectively with peers, management, operations groups, and outside organizations
Required Qualifications
- U.S. citizenship required to comply with federal government contract provision expressly restricting role to U.S. citizens
- Must be currently enrolled in a PhD program
- Pursuing a degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, Electrical Engineering, Mechanical Engineering, Robotics, Applied Mathematics, or a closely related science/engineering field
- Strong foundation in AI/ML, statistical modeling, data analysis, or computational methods
- Programming experience in Python and/or other relevant languages for machine learning, analytics, or scientific computing
- 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 a Competitive Advantage (Preferred Qualifications)
- Prior research, internship, or project experience applying AI/ML to engineering, physical systems, or large-scale data problems
- Experience with machine learning model development, evaluation, and deployment workflows
- Knowledge and experience of physics-based dynamic system modeling
- Experience with NeruoSymbolic AI or Causal/Explainable AI or Emotion/Affective AI
- Familiarity with generative AI, large language models, deep learning, or physics-informed/data-driven modeling approaches
- Experience working with vehicle, test, simulation, sensor, or other engineering datasets
- Demonstrated ability to translate technical findings into clear recommendations for technical and non-technical audiences
- 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
- Willingness to ask questions, take initiative, and be inventive
- 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, and takes initiative/self-directed
- Evidence of strong character with integrity, honesty, accountability, and trust
다양성 정보
General Motors는 법적으로 금지된 차별을 배제하는 것은 물론 포용성과 소속감을 진정으로 장려하는 직장이 되기 위해 노력하고 있습니다. 당사는 다양성이 보장되는 환경에서 직원들이 역량을 발휘하고 우리 고객을 위한 더 좋은 제품을 개발할 수 있다고 믿습니다. 따라서 입사에 관심 있는 사람이 있다면 포지션별 주요 업무와 자격을 확인하고 본인이 보유한 기술과 능력에 부합하는 모든 포지션에 적극적으로 지원하기를 장려합니다. 지원자는 채용 과정에서 역할 관련 평가(해당하는 경우) 및/또는 채용 전 스크리닝을 통과해야 합니다. 자세한 정보는 GM 채용 과정 안내를 참고하십시오.
공평한 취업 기회 선언 (미국)
General Motors는 공평한 기회를 제공하는 고용주임을 자부합니다. 자격을 만족하는 지원자는 인종과 피부색, 성별, 성적 지향, 성별 정체성, 국적, 장애, 재향 군인 보호법 적용 여부와 상관없이 채용 후보로서 심사를 받습니다.
숙소 (미국 및 캐나다)
General Motors는 장애인을 포함한 모든 구직자들에게 취업 기회를 제공합니다. 구직이나 취업 지원에 도움이 되는 합리적인 숙소가 필요한 경우 [email protected]으로 이메일을 보내시거나 800-865-7580으로 전화주십시오. 이메일에, 귀하가 요청하는 특정한 숙소에 대한 설명과 귀하가 지원하는 직무와 채용 요청서 번호를 포함해주세요.