Summer Intern – Research and Development – Vehicle Health Management

General Motors

. Generate innovative ideas in Vehicle Health Management using physics-based, data-driven, and AI-based modeling methodologies .

Posted 10/30/2026internshipWarren • Michigan • United StatesEntry LevelWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in Vehicle Health Management through innovative modeling methodologies, including AI-based techniques, and possesses strong capabilities in fault detection, diagnostics, and prognostics. Proficient in Python and familiar with ML frameworks, with a solid understanding of data-driven insights for vehicle systems.

Highest-signal resume keywords

Advanced Degree In Electrical EngineeringFault Detection And IsolationAI/ML Development WorkflowsPython ProgrammingMATLAB/Simulink Experience

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Fault DetectionDiagnosticsPrognosticsRoot Cause AnalysisData PreparationModel TrainingModel DeploymentPerformance EvaluationPerformance MonitoringPrototype Development

Soft Skills

Effective CommunicationTeam CollaborationIndependent Work

Tools & Technologies

PythonPyTorchTensorFlowPySparkMATLABSimulink

Industry Keywords

Vehicle Health ManagementData-Driven InsightsAI-Based ModelingEngineering Development EfficiencyWarranty Performance

Tech Stack

Tools & technologies

PySparkPythonPyTorchTensorflow

About the role

Key responsibilities & impact

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
Transform vehicle engineering data into actionable insights that predict system issues and identify root causes
Document and present results
Advance technologies supporting improved warranty performance and engineering development efficiency

Requirements

What you’ll need

Pursuit of an advanced degree (Master or PhD) in Electrical Engineering, Mechanical Engineering, Aerospace Engineering, Computer Science, Artificial Intelligence, or related field
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
Experience with PySpark
Experience with MATLAB/Simulink
Effective verbal and written communication skills
Ability to work both independently and in teams
Successful candidate must be a U.S. Person: U.S. citizen, U.S. permanent resident, asylee or refugee
GM does not provide immigration-related sponsorship; applicants must not require GM immigration sponsorship now or in the future

Benefits

Comp & perks

Total Rewards resources
Workplace accommodations for individuals with disabilities