Intern Jobs

About The Position

Requirements

• Be pursuing a master's or Ph.D. in Electrical Engineering, Mechanical Engineering, Aerospace Engineering, Computer Science, Artificial Intelligence, or a related field.
• Be a current student.
• 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 machine learning 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 stated U.S. Person eligibility requirement due to export control restrictions.
• Not require GM immigration-related sponsorship 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 data involving multiple variables into comprehensive, impactful insights.
• Strong theoretical and experimental skills, especially in controls, optimization, and signal processing.
• Background in advanced 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 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.