2027 Summer Intern – Research and Development – Vehicle Health Management

General Motors • Warren, MI

12d • Hybrid

About The Position

General Motors is seeking a technically exceptional, motivated intern to work in Vehicle Health Management (VHM), combining connected-vehicle data, data science, physics-based modeling, and advanced AI. The work aims to make vehicle ownership more convenient while advancing vehicle and propulsion systems, improving warranty performance, and increasing engineering development efficiency.

The intern will transform vehicle engineering data into insights that help predict system issues and identify root causes before they affect vehicle performance or customers. VHM research combines physics-based understanding with machine learning approaches, including large language models, causal AI, and reinforcement learning, to develop scalable solutions for diagnostics, prognostics, and system performance management. The work contributes to technologies such as proactive alerts that identify potential vehicle component failures before they become emergencies.

The internship involves generating research ideas, developing vehicle-system technologies, executing research plans from concept generation through performance evaluation, and documenting and presenting results. The position is hybrid and requires reporting to Warren, Michigan, at least three times per week. Internship start dates are May 24 or June 14, 2027. The candidate must be a current student pursuing an advanced degree and be able to work 40 hours per week during the summer. The role requires U.S. person status and does not provide immigration-related sponsorship.

Requirements

• Be a current student pursuing a master's or Ph.D. in Electrical Engineering, Mechanical Engineering, Aerospace Engineering, Computer Science, Artificial Intelligence, or a related field.
• Be able to work full time, 40 hours per week, during the summer months.
• Have a background in fault detection and isolation, diagnostics and prognostics, and root cause analysis.
• Understand AI/ML development workflows, including data preparation, model training and deployment, performance evaluation, and monitoring.
• Have experience with Python, including familiarity with ML frameworks such as PyTorch or TensorFlow, as well as PySpark and MATLAB/Simulink.
• Have effective verbal and written communication skills.
• Be able to work independently and as part of a team.
• Meet the U.S. person requirement: U.S. citizen, U.S. permanent resident, asylee, or refugee.
• Be able to work without immigration-related sponsorship from GM now or in the future.

Nice To Haves

• Prior internship experience in automotive, technology, or manufacturing.
• Strong critical-thinking and analytical skills, including the ability to synthesize large amounts of multivariable data into comprehensive, impactful insights.
• Strong theoretical and experimental skills, especially in controls, optimization, and signal processing.
• Background in current AI technologies such as deep learning, large language models, causal AI, reinforcement learning, foundation models, or physics-informed machine learning.

Responsibilities

• Generate innovative ideas in Vehicle Health Management using physics-based, data-driven, and current AI-based modeling methodologies.
• Develop next-generation technologies for vehicle-system diagnosis, prognosis, fault-tolerant controls, and integration.
• Develop and execute research plans, including concept generation, prototype development, system implementation, and performance evaluation.
• Document and present results.

What This Job Offers

• Job Type: Full-time
• Career Level: Intern