설명
The Role
We are seeking highly motivated, technically exceptional interns to join our team in the rapidly growing field of Vehicle Health Management (VHM). This is an exciting opportunity to work at the intersection of connected vehicles, data science, physics-based modeling, and advanced AI to develop technologies that make vehicle ownership more convenient and seamless for millions of customers. You will also help advance vehicle and propulsion systems in support of enterprise cost reduction through improved warranty performance and greater engineering development efficiency.
In this role, you will transform vehicle engineering data into actionable insights that can predict system issues and identify root causes before they affect vehicle performance or disrupt customers’ daily lives. Our VHM research combines fundamental physics-based understanding with modern machine learning approaches, including but not limited to large language models, causal AI, and reinforcement learning, to deliver scalable solutions for diagnostics, prognostics, and system performance management.
GM is a leader in this field. One example is the industry-first OnStar Proactive Alert for Starting System, which warns customers of potential component failures before they become emergencies, turning unplanned repairs into scheduled maintenance. Now available on more than 15 million GM vehicles, this service demonstrates the real-world impact of our work at scale. By joining this team, you will help advance technologies that improve the ownership experience for millions of customers.
What You’ll Do:
- Generate innovative ideas in VHM related areas, utilizing physics-based, data-driven, as well as latest AI-based modeling methodologies
- Develop next-generation technologies for vehicle system diagnosis, prognosis, and fault-tolerant controls as well as integration
- Develop and execute specific research plans, including concept generation, prototype development, system implementation, and performance evaluation
- Document and present results
Required Qualifications:
- Pursuit of an advanced degree (Master or PhD) in one of the following areas: Electrical Engineering, Mechanical Engineering, Aerospace Engineering, Computer Science, Artificial Intelligence, or related field of study
- Must be a current student
- Able to work fulltime, 40 hours per week during the summer months
- Background in fault detection and isolation, diagnostics and prognostics, root cause analysis
- Understanding of AI/ML development workflows, including data preparation, model training and deployment, performance evaluation and monitoring
- Experience in Python (including familiarity with ML frameworks such as PyTorch or Tensorflow), PySpark, MATLAB/Simulink
- Effective verbal and written communication skills
- Ability to work both independently and in teams
Preferred Qualifications:
- Prior internship experience in automotive, technology, or manufacturing
- Strong critical thinking and analytical skills, especially the ability to synthesize large amounts of data involving multiple variables into comprehensive, impactful insights
- Strong theoretical and experimental skills, especially in controls, optimization, signal processing
- Background in latest AI technologies such as deep learning, LLMs, causal AI, reinforcement learning, foundation models, physics-informed machine learning
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.)
The position is subject to export control restrictions and requires the successful candidate to be a U.S. Person (U.S. citizen, U.S. permanent resident, asylee or refugee).
Work Arrangement:
Hybrid: This role is categorized as hybrid. This means the successful candidate is expected to report to Warren, MI three times per week, at minimum.
Start dates for this internship role are in May 24th & June 14th of 2027.
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)
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