Summer Intern – AI & Hardware Analytics

General Motors

. Analyze production, quality, equipment, test, and operational data to identify trends, bottlenecks, variation, and improvement opportunities .

Posted 10/5/2026internshipWarren • Michigan • United StatesEntry Level💰 $8,100 - $8,700 per monthWebsite

Core Competencies

Role fit

Core Competencies

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

Proficient in statistical analysis, machine learning, and data visualization to optimize processes and support predictive insights. Capable of developing data pipelines and analytical models while effectively communicating results to cross-functional teams.

Highest-signal resume keywords

Statistical AnalysisMachine LearningData VisualizationPython ProgrammingProcess Optimization

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Statistical AnalysisMachine LearningData VisualizationPython ProgrammingSQLMATLABAnomaly DetectionPredictive MaintenanceOptimizationDesign of Experiments

Soft Skills

Clear CommunicationCross-Functional Collaboration

Tools & Technologies

Power BITableauPandasNumPyScikit-learnPyTorchTensorFlow

Industry Keywords

ManufacturingProduction OperationsCycle TimeThroughputFirst-Pass YieldDowntimeCapacity UtilizationDefect RateRoot-Cause InvestigationAutomated Testing

Tech Stack

Tools & technologies

NumpyPandasPythonPyTorchScikit-LearnSQLTableauTensorflow

About the role

Key responsibilities & impact

Analyze production, quality, equipment, test, and operational data to identify trends, bottlenecks, variation, and improvement opportunities
Apply statistical analysis, machine learning, anomaly detection, and other AI techniques to support predictive insights and process optimization
Develop data pipelines, analytical models, and automated workflows for engineering and production teams
Evaluate process performance using cycle time, throughput, first-pass yield, downtime, capacity utilization, and defect-rate metrics
Support root-cause investigations by connecting process conditions, equipment signals, test results, and quality outcomes
Measure the impact of process changes and recommend improvements that reduce manual effort, improve throughput, or increase quality
Create dashboards, reports, and visualizations supporting technical and operational decisions
Document methods, assumptions, findings, and recommendations
Present results clearly to engineers, technical leaders, and cross-functional stakeholders

Requirements

What you’ll need

Working toward a Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Industrial Engineering, Manufacturing Engineering, Electrical Engineering, Mechanical Engineering, or a related field
Coursework or project experience in Python, SQL, MATLAB, statistics, data visualization, or machine learning
Able to work full-time, 40 hours per week
Experience with Python libraries or tools such as pandas, NumPy, scikit-learn, PyTorch, or TensorFlow
Familiarity with Power BI, Tableau, time-series analysis, anomaly detection, predictive maintenance, statistical process control, optimization, or design of experiments
Basic understanding of manufacturing, hardware development, robotics, automated testing, embedded systems, or production operations
Must be graduating between December 2027 and June 2028
Intent to return to degree program after the completion of the internship
GM does not provide immigration-related sponsorship for this role; applicants must not require GM immigration sponsorship now or in the future
Selected intern is expected to report to the office 5 days a week

Benefits

Comp & perks

One-time lump sum taxable stipend payment to eligible students selected for the 2027 Student Program
Paid US GM Holidays
GM Family First Vehicle Discount Program
Result-based potential for growth within GM
Intern events to network with company leaders and peers