Summer Intern, Data Scaling, Embodied AI

General Motors

. Develop data pipelines and tooling for large-scale, multimodal autonomous driving datasets .

Posted 10/9/2026internshipSunnyvale • California • United StatesEntry Level💰 $11,800 - $14,600 per monthWebsite

Core Competencies

Role fit

Core Competencies

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

Demonstrates expertise in developing data pipelines and tooling for autonomous driving datasets, with strong programming skills in Python and experience in machine learning frameworks such as PyTorch and TensorFlow. Capable of analyzing data quality and performance while collaborating effectively in cross-functional teams.

Highest-signal resume keywords

Python ProgrammingMachine Learning FrameworksData EngineeringDistributed SystemsQuantitative Analysis

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data ProcessingMachine Learning PipelinesSQLC++Data Quality SystemsDistributed Data-Processing FrameworksHigh-Performance ComputingCloud InfrastructureData MiningExperiment Reproducibility

Soft Skills

Analytical SkillsProblem-Solving SkillsCollaborationWritten CommunicationPresentation Skills

Tools & Technologies

PyTorchTensorFlowJAXGPU-Based WorkflowsWorkflow OrchestrationVisualization ToolsDashboardsMetricsDistributed TrainingAutonomous Vehicles

Industry Keywords

Autonomous DrivingMultimodal Sensor DataRoboticsComputer VisionDeep LearningSelf-Supervised LearningImitation LearningReinforcement LearningLarge-Scale DatasetsTime-Series Data

Tech Stack

Tools & technologies

CloudDistributed SystemsPythonPyTorchSQLTensorflowC++

About the role

Key responsibilities & impact

Develop data pipelines and tooling for large-scale, multimodal autonomous driving datasets
Analyze data quality, coverage, distribution, and performance impact using quantitative methods
Prototype and evaluate approaches for data mining, curation, labeling, sampling, or scenario discovery
Improve training throughput, data loading, experiment reproducibility, or resource utilization in distributed computing environments
Collaborate with machine learning researchers, data engineers, infrastructure engineers, and autonomy teams
Build visualizations, metrics, dashboards, and evaluation workflows to communicate data and model behavior
Contribute to production-quality software through design reviews, code reviews, automated testing, continuous integration, and documentation
Present technical findings and document experiments, results, and recommendations

Requirements

What you’ll need

Currently enrolled in or pursuing a Master’s or Ph.D. degree in Computer Science, Machine Learning, Data Science, Electrical Engineering, or a related technical field
Demonstrated experience through coursework, research, academic projects, or professional work in machine learning, data engineering, distributed systems, or a related area
Strong programming skills in Python
Experience working with data processing, databases, machine learning pipelines, or large-scale datasets
Strong analytical and problem-solving skills, with the ability to use quantitative analysis to guide decisions
Ability to work collaboratively in a cross-functional, team-oriented environment
Strong written, verbal, and presentation skills
Availability to work full-time, 40 hours per week, during the internship period
Experience with PyTorch, TensorFlow, JAX, or another machine learning framework
Experience with distributed training, parallel computing, high-performance computing, cloud infrastructure, or GPU-based workflows
Familiarity with multimodal sensor data, autonomous vehicles, robotics, computer vision, or large-scale time-series data
Experience with SQL, data warehouses, workflow orchestration, data quality systems, or distributed data-processing frameworks
Familiarity with foundation models, self-supervised learning, imitation learning, reinforcement learning, or deep learning
Experience with C++ or another systems programming language
Must be graduating between December 2027 and June 2028
Intent to return to a degree program after completion of the internship

Benefits

Comp & perks

One-time lump sum taxable stipend payment for eligible students selected for the 2027 Student Program
Paid U.S. GM holidays
GM Family First Vehicle Discount Program
Potential for growth within GM based on performance and business needs
Intern events and opportunities to network with company leaders and peers
Mentorship and hands-on experience with the data and ML foundations behind autonomy