Engineering Assistant

FEV North America, Inc.

Auburn Hills, MIFresher1h agovia LinkedIn

About the Role

The Engineering Assistant (Intern) will support the development and validation of automotive software and Advanced Driver Assistance Systems (ADAS) under the guidance of experienced engineers. This role provides hands-on exposure to embedded software development, systems engineering, vehicle integration, testing, and validation activities for next-generation automotive technologies.

This internship is scheduled to begin in January 2027.

The selection process will take place in advance of the start date; apply early.

Interviews will be conducted on a rolling basis throughout the Fall 2026 recruiting season.

Key Responsibilities

  • Support embedded software development and testing activities.
  • Assist in requirements analysis, software design, implementation, and verification tasks.
  • Contribute to ADAS feature development, integration, and validation activities.
  • Support system, software, and vehicle-level testing.
  • Develop and execute test cases and document test results.
  • Assist with software debugging and root-cause analysis.
  • Prepare technical reports, presentations, and project documentation.
  • Support cross-functional teams including systems, software, testing, and validation engineers.

Requirements & Tech Stack

  • Currently pursuing a bachelor’s or master’s degree in: Electrical Engineering, Computer Engineering, Software Engineering, Mechatronics Engineering, Robotics Engineering, Automotive Engineering.
  • US Citizen or Green card holder.
  • Strong academic performance.
  • Basic understanding of software development principles.
  • Familiarity with programming languages such as C/C++, Python, or MATLAB.
  • Ability to work 15–25 hours per week.

Preferred Qualifications

  • Strong analytical and problem-solving skills.
  • Effective verbal and written communication skills in English.
  • Demonstrated hands-on engineering experience through automotive, robotics, defense, aerospace, or autonomous systems research projects beyond standard academic coursework.
  • Experience with one or more of the following:
  • Embedded C/C++
  • Python
  • MATLAB/Simulink
  • ROS/ROS2
  • Git
  • CAN, LIN, Ethernet
  • Vehicle Diagnostics
  • Sensor Integration

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