Autonomous Vehicle Intern: Fleet Reliability & Test

General Motors LLC

United States

On-site

USD 90,000 - 97,000

Full time

3 days ago
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Benefits offered by this job

Paid US GM Holidays
Family First Vehicle Discount Program
Growth opportunities & Intern events

Job summary

General Motors LLC is seeking an on-site intern for the Autonomous Vehicle Engineering organization in Milford, Michigan. The role offers hands-on experience in fleet reliability engineering and AV test engineering, focusing on data analysis, scripting, and real-world testing within a collaborative environment.

You will contribute to fleet health metrics, validate vehicle performance, and develop tools to streamline testing workflows, while gaining exposure to cross-functional teams and

Qualifications

  • Pursuit of a bachelor’s degree in Computer Science or Engineering, including Electrical, Mechatronics, Systems Design, Mechanical, Chemical, or equivalent.

Responsibilities

  • Define and improve fleet health, reliability, availability, uptime, and serviceability metrics.
  • Analyze vehicle health data, telemetry, diagnostic information, service records, work orders, incidents, and operational data.
  • Develop scripting and analysis tools to automate data processing, fleet reporting, reliability calculations, and engineering workflows.
  • Coordinate with AV Operations and cross-functional teams to schedule and execute testing safely and consistently.

Skills

Python
MATLAB
embedded microcontrollers

Education

Bachelor’s degree in Computer Science or Engineering

Job description

General Motors LLC is seeking an on-site intern for the Autonomous Vehicle Engineering organization in Milford, Michigan. The role offers hands-on experience in fleet reliability engineering and AV test engineering, focusing on data analysis, scripting, and real-world testing within a collaborative environment.

You will contribute to fleet health metrics, validate vehicle performance, and develop tools to streamline testing workflows, while gaining exposure to cross-functional teams and

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