Drimva

General Motors

2027 Summer Intern – Research and Development – Vehicle Health Management

Warren, Michigan, United States of America · Hybrid · Internship · Posted Oct 30, 2026

Education
Pursuing an advanced degree (Master or PhD) in a listed or related field; must be a current student.
Visa sponsorship
GM does not provide immigration-related sponsorship. Candidates must be U.S. Persons (U.S. citizens, U.S. permanent residents, asylees, or refugees).

About the job

Develop and evaluate vehicle health technologies that use engineering data, physics-based models, and AI to diagnose and predict system issues and improve vehicle performance.

What you'll do

  • Generate and develop vehicle health management concepts and technologies for diagnosis, prognosis, and fault-tolerant controls.
  • Plan and conduct research, including prototyping, system implementation, and performance evaluation.
  • Document and present research results.

What they ask for

  • Currently pursuing a Master’s or PhD in Electrical Engineering, Mechanical Engineering, Aerospace Engineering, Computer Science, Artificial Intelligence, or a related field.
  • Background in fault detection and isolation, diagnostics and prognostics, and root cause analysis.
  • Understanding of AI/ML workflows, including data preparation, model training and deployment, performance evaluation, and monitoring.
  • Experience with Python, PySpark, and MATLAB/Simulink; Python experience includes familiarity with PyTorch or Tensorflow.

Nice to have

  • Prior internship experience in automotive, technology, or manufacturing.
  • Strong theoretical and experimental skills in controls, optimization, or signal processing; background in deep learning, LLMs, causal AI, reinforcement learning, foundation models, or physics-informed machine learning.

Tools

Python, PyTorch, Tensorflow, PySpark, MATLAB/Simulink

AI focus

Apply AI/ML, including large language models, causal AI, and reinforcement learning, to vehicle diagnostics, prognostics, system performance management, and fault-tolerant controls.

Model-written summary · the original posting is authoritative

First seen Oct 31, 2026 · Last verified Nov 6, 2026 (UTC)