2027 Summer Intern, Fleet Reliability & Test Engineering, ASD

General Motors•Milford, MI
•$8,100 - $8,700•Onsite

About The Position

The 2027 Summer Intern, Fleet Reliability & Test Engineering role is within GM’s Autonomous Vehicle Engineering organization, which supports the development of safe, reliable, high-performing assisted and automated driving systems throughout the vehicle lifecycle. Interns work with engineering, operations, service, technician, software, systems, safety, and supplier teams on hands-on autonomous-vehicle development, data analysis, scripting, and engineering execution. This is an on-site internship in Milford, Michigan, with an expectation to report to the office five days per week. Interns must be able to work full time, 40 hours per week. GM does not provide immigration-related sponsorship for this role. Interns may focus on Fleet Reliability Engineering, AV Test Engineering, or complementary work across the areas. Fleet Reliability work supports the health, availability, serviceability, and operational readiness of autonomous vehicle fleets. AV Test Engineering work plans, executes, and analyzes tests of assisted and automated driving capabilities across simulation, benches, closed courses, and on-road development fleets. The position is intended for students pursuing a bachelor’s degree in a relevant engineering discipline. Preferred candidates have an expected graduation date between December 2027 and August 2028 and intend to return to a degree program after the internship. The monthly salary range is $8,100–$8,700. Eligible students selected for the 2027 Student Program will receive a one-time taxable lump-sum stipend.

Requirements

  • Pursuing a bachelor’s degree in Computer Engineering, Electrical Engineering, Computer Engineering, Mechatronics, Systems Design, Mechanical Engineering, Chemical Engineering, or an equivalent discipline.
  • Coursework or project experience in Python, MATLAB, or embedded microcontrollers.
  • Ability to work full time, 40 hours per week.
  • Strong interest in autonomous vehicles, vehicle systems, reliability, diagnostics, testing, embedded systems, simulation, data analysis, or related areas.
  • Hands-on approach to building, testing, troubleshooting, debugging, analyzing, and learning through practical work.
  • Strong problem-solving skills and attention to detail.
  • Ability to communicate technical findings clearly, verbally and in writing.
  • Ability to work collaboratively and manage multiple tasks toward deliverables.

Nice To Haves

  • Basic understanding of automotive control systems, ADAS features, vehicle diagnostics, sensors, electronics, vehicle testing, fleet operations, or software validation.
  • Familiarity with reliability methods, root-cause analysis, data analysis, MATLAB/Simulink or other model-based design tools, simulation, HIL/SIL, data logging, or test automation.
  • Familiarity with automotive communication protocols such as CAN, LIN, or Ethernet.
  • Proficiency in scripting or data-analysis languages such as Python, MATLAB, or SQL.
  • Experience developing engineering tools, dashboards, automated workflows, test datasets, or regression suites.
  • Intent to return to a degree program after the internship.
  • Expected graduation between December 2027 and August 2028.

Responsibilities

  • Define and improve fleet health, reliability, availability, uptime, and serviceability metrics.
  • Analyze vehicle health data, telemetry, diagnostics, service records, work orders, incidents, and operational data.
  • Support dashboards, data mining, and analytics that provide visibility into fleet condition and reliability trends.
  • Investigate recurring vehicle, hardware, software, sensor, electrical, and operational issues by organizing symptoms, timelines, configurations, and supporting evidence.
  • Support root-cause investigations, issue prioritization, corrective-action tracking, and communication of findings to technical and operational stakeholders.
  • Partner with technicians and service teams to evaluate repairs, maintenance activities, return-to-service requirements, and opportunities to improve repeatability.
  • Develop standard work, checklists, troubleshooting guides, and documentation to improve fleet reliability, service execution, and issue closure.
  • Develop scripts and analysis tools to automate data processing, fleet reporting, reliability calculations, and engineering workflows.
  • Support reliability testing and validation using vehicles, benches, diagnostic tools, simulation, and available fleet data.
  • Translate engineering questions, feature requirements, and test requests into test cases, procedures, and acceptance criteria.
  • Assess test feasibility and identify dependencies, including vehicles, routes, prototypes, software branches, tools, instrumentation, safety coverage, staffing, and operating approvals.
  • Prepare and execute feature, sensor-level, system-level, regression, A/B comparison, and vehicle-level tests.
  • Execute performance and validation tests using simulation, playback, bench, HIL/SIL, closed-course, and on-road fleets.
  • Develop scripts to automate testing, data collection, result processing, and repeatable test workflows in vehicles and on benches.
  • Analyze vehicle, sensor, software, and system data to evaluate performance, identify regressions, and improve validation efficiency.
  • Document test results, consolidate findings, create defects or mitigations, and support root-cause investigations and retest plans.
  • Support creation of test datasets, scenario libraries, regression suites, dashboards, and automated test pipelines.
  • Coordinate with AV Operations and cross-functional engineering teams to schedule and execute testing safely and consistently.
  • Collaborate with engineering and operations teams to deliver technical work and improve AV development processes.
  • Apply structured problem-solving to organize technical evidence, identify trends, and recommend next steps.
  • Prepare technical summaries and communicate findings clearly to technical and operational stakeholders.
  • Consult senior engineers or technical experts when needed.
  • Manage multiple tasks while maintaining attention to detail and working toward defined deliverables.

Benefits

  • 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 for eligible students selected for the 2027 Student Program
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