Intern - AI/ML Engineer, Autonomous Vehicle ML Infrastructure

General Motors

. Develop and optimize autonomous vehicle machine learning infrastructure .

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

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in developing and optimizing machine learning infrastructure for autonomous vehicles, with strong capabilities in data processing, model training, and system monitoring. Proficient in modern programming languages and familiar with distributed systems and AI-assisted engineering tools.

Highest-signal resume keywords

Machine Learning Infrastructure DevelopmentObject-Oriented Programming (Java, C++, Python, Perl, PHP, Go)Data Processing Pipelines OptimizationDistributed Systems Experience (Spark, Ray, Kubernetes, Slurm)Strong Communication Skills

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Machine LearningData ProcessingModel TrainingRegression ModelsScheduling AlgorithmsOrchestrationSystems SoftwareAlgorithmsAI-Assisted Engineering ToolsInstrumentation

Soft Skills

CollaborationCommunication

Tools & Technologies

CarbenchHILHadoopHBasePigMapReduceSawzallBigtable

Industry Keywords

Autonomous VehiclesMachine Learning InfrastructureDistributed ClustersMulticore SMPGPU Environments

Tech Stack

Tools & technologies

Distributed SystemsHadoopHBaseJavaKubernetesMapReducePerlPHPPythonRaySparkC++Go

About the role

Key responsibilities & impact

Develop and optimize autonomous vehicle machine learning infrastructure
Improve data processing pipelines, scheduling, model training and inference workflows, and testing infrastructure such as Carbench/HIL
Develop scalable infrastructure and tools supporting model training, regression, rules-based models, operations, and inference
Suggest, collect, and synthesize requirements and create an effective feature roadmap
Code deliverables in tandem with the engineering team
Adapt standard machine learning methods to distributed clusters, multicore SMP, and GPU environments
Support tool development, instrumentation, and system monitoring to improve reliability, reduce latency, and increase iteration speed
Perform team-specific responsibilities

Requirements

What you’ll need

Currently enrolled in a full-time, degree-seeking program and in the process of obtaining a Bachelor's or Master's degree in computer science or a related technical field
Experience in systems software or algorithms
Experience with modern object-oriented programming languages, including Java, C++, Python, Perl, PHP, or Go
Strong communication skills with experience collaborating across cross-functional teams
Able to work full-time, 40 hours per week
Preferred: demonstrated software engineer experience via an internship, work experience, or coding competitions
Preferred: familiarity with AI-assisted engineering tools
Preferred: research and/or work experience in machine learning infrastructure
Preferred: experience with Hadoop, HBase, Pig, MapReduce, Sawzall, or Bigtable
Preferred: experience with distributed systems such as Spark, Ray, Kubernetes, or Slurm
Preferred: experience in scheduling algorithms, orchestration, or compute
Preferred: intent to return to degree program after internship
Preferred: graduating between December 2027 and August 2028

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