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General Motors

Builds cars, trucks and SUVs for drivers

Fleet Reliability & Test Engineering Intern - Asd

Mechanical Maintenance and Reliability EngineeringConfirmed live in the last 24 hours
Internship · Summer 2027Milford, MI, USA

About the Job

Requirements

  • Pursuit of a bachelor's degree in Computer Engineering, Electrical Engineering, Computer Science, 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.
  • A hands-on mindset, including building, testing, troubleshooting, debugging, analyzing, and learning through practical work.
  • Problem-solving skills and attention to detail.
  • Ability to communicate technical findings clearly, verbally and in writing.
  • Ability to collaborate in a team environment and manage multiple tasks toward a deliverable.

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.
  • Support dashboards, data-mining activities, and analytics that provide visibility into fleet condition and reliability trends.
  • Investigate recurring vehicle, hardware, software, sensor, electrical, or 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 that improve fleet reliability, service execution, and issue closure.
  • Develop scripting and analysis tools to automate data processing, fleet reporting, reliability calculations, and engineering workflows.
  • Support reliability testing and validation activities using vehicles, benches, diagnostic tools, simulation, and available fleet data.
  • Translate engineering questions, feature requirements, and test requests into clear 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, hardware-in-the-loop/software-in-the-loop, 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 re-test plans.
  • Support the 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 cross-functional engineering and operations teams to deliver technical work and improve autonomous-vehicle development processes.
  • Apply structured problem-solving to organize technical evidence, identify trends, and recommend next steps.
  • Prepare technical summaries and communicate findings to technical and operational stakeholders.
  • Draw in senior engineers or technical experts when needed.
  • Manage multiple tasks while maintaining attention to detail and working toward defined deliverables.

Desired Qualifications

  • Basic understanding of automotive control systems, advanced driver-assistance systems (ADAS) features, vehicle diagnostics, sensors, electronics, vehicle testing, fleet operations, or software validation.
  • Familiarity with reliability methods, root-cause analysis, data analysis, model-based design tools such as MATLAB/Simulink, simulation, hardware-in-the-loop/software-in-the-loop, 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 completion of the internship.

About the Company

General Motors

Builds cars, trucks and SUVs for drivers

General Motors designs, builds and sells cars, trucks and SUVs for individual drivers and commercial fleets, with gasoline and electric models across mainstream and luxury markets. Its Chevrolet and GMC brands cover pickups and utility vehicles, while Cadillac focuses on luxury and Buick sells passenger vehicles. The group sells vehicles and replacement parts mainly through independent dealers, which handle customer sales, maintenance and repairs. Its captive finance subsidiary, GM Financial, earns revenue from vehicle loans and leases and also finances dealer inventories. General Motors traces its roots to 1908 and is headquartered in Detroit, Michigan.

Company size
10,001+
Company stage
IPO
Headquarters
Detroit, MI
Founded
1908

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