AI/ML Engineer, Capacity & Performance Engineering, Autonomous Vehicles

General Motors

. Develop scalable infrastructure, tools, and insights to support Model Training, Simulation, CI Build, and Data Generation insights with the capacity intelligence program .

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

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in developing scalable infrastructure and tools for capacity intelligence, with strong programming skills in Python and experience in systems software and algorithms. Capable of collaborating effectively across cross-functional teams to optimize cloud efficiency and support capacity models.

Highest-signal resume keywords

Python ProgrammingSQLBigQueryDistributed SystemsMachine Learning Infrastructure

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Object-Oriented ProgrammingSystems SoftwareAlgorithmsCapacity IntelligenceCloud Efficiency

Soft Skills

Strong CommunicationCollaboration

Tools & Technologies

SparkRayKubernetesSlurm

Industry Keywords

Capacity ModelsCloud SpendingBudget PacingEgress Forecasting

Tech Stack

Tools & technologies

BigQueryCloudDistributed SystemsJavaKubernetesPythonRaySparkSQLC++

About the role

Key responsibilities & impact

Develop scalable infrastructure, tools, and insights to support Model Training, Simulation, CI Build, and Data Generation insights with the capacity intelligence program
Code deliverables in tandem with the engineering team
Perform specific responsibilities that vary by team
Develop and optimize the capacity intelligence system, focusing on integrating new capabilities
Support capacity models, cloud efficiency, vendor planning, and tooling for capacity, demand, utilization, reliability, and cost visibility
Contribute to the Capacity Intelligence system for capacity intake, cloud spending, budget pacing, quota and queue analysis, egress forecasting, and related capacity insights

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 (e.g., Java, C++, Python)
Experience coding in Python
Experience with SQL and BigQuery
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 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

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
One-time lump sum taxable stipend payment to eligible students selected for the 2027 Student Program