Overview:

1. Battery, Component & Modeling Intern
   
2. Safety Attribute Intern
   
3. Global Engineering Inspection Intern
   
4. Tear Down & Upgrade Validation (TDU) Intern
   
5. Energy management & Drivability Quality Intern
   
6. Noise Validation & Harness Intern
   
7. Vehicle Dynamic Intern
   
8. Benchmarking Intern
   
9. Thermal Intern
   
10. Weight Attributes Intern
    
11. Atribute Development & Validation Intern
    
12. Geometric Dimensioning and Tolerancing Intern
    
13. Durability Intern
    
14. Attributes Convergence Intern
    
15. EE Testing Intern
    
16. Lab Test Intern
    
17. Mechanical Engineering Intern
    
18. Embedded Software Intern
    
19. Hardware Engineering Intern
    
20. Project Management Intern
    

As an Engineering Intern, you will support engineering teams in research, design, simulation, testing, validation, benchmarking, and project activities related to automotive products and systems.

Depending on the assigned function, interns may participate in:

• Supporting engineering analysis, simulation, testing, and validation activities.
  
• Assisting in vehicle/component inspection, benchmarking, teardown, and reporting.
  
• Supporting CAE/FEA modelling and engineering calculations.
  
• Supporting EE/Embedded software testing and troubleshooting activities.
  
• Assisting in hardware/software integration and validation.
  
• Preparing technical reports, presentations, and engineering documentation.
  
• Supporting data collection, analysis, and issue tracking.
  
• Coordinating with cross-functional engineering teams.
  
• Participating in continuous improvement and problem-solving activities.
  
• Supporting project coordination and engineering process management.
  

Requirements

Education & Technical Background

• Final-year students or fresh graduates in:
  
  • Mechanical Engineering
    
  • Automotive Engineering
    
  • Electrical/Electronics Engineering
    
  • Mechanics Engineering
    
  • Control & Automation
    
  • Embedded Systems
    
  • Computer Science / IT
    
  • Physics / Chemistry
    
  • Or related engineering fields
    

Technical Knowledge

Candidates should have basic knowledge or strong interest in one or more of the following areas:

Mechanical / Automotive Engineering

• Engineering fundamentals:
  
  • Mechanics
    
  • Strength of Materials
    
  • Statics & Dynamics
    
  • Vehicle Systems
    
  • Manufacturing Processes
    
  • Vehicle Dynamics / NVH / Thermal Systems
    
• Ability to read technical drawings and understand product structures.
  
• Basic understanding of automotive components and systems.
  

CAE / Simulation

• Basic understanding of FEA/CAE or Computational Engineering.
  
• Familiarity with engineering tools (ANSYS, CATIA, MATLAB/Simulink, etc) is a plus:
  

Electrical / Embedded / Software

• Basic understanding of:
  
  • Embedded Systems
    
  • ECU
    
  • CAN/LIN communication
    
  • Diagnostics
    
  • EE Architecture
    
• Basic programming knowledge:
  
  • C/C++
    
  • Python
    
  • Java/Kotlin
    
• Familiarity with tools (CANoe, CANalyzer, Arduino, etc) such as:
  

Software / IT / Project Management

• Understanding of SDLC, software testing, or project workflows.
  
• Knowledge of Agile/Scrum or V-model is a plus.
  
• Familiarity with Jira, Confluence, database systems, or cloud platforms is an advantage.
  
  

Skills & Qualifications

• Strong analytical and problem-solving skills.
  
• Good logical thinking and attention to detail.
  
• Good teamwork and communication skills.
  
• Ability to read and understand technical English documents.
  
• Proficient in Microsoft Office (Excel, PowerPoint, Word).
  
• Passion for automotive technology and engineering innovation.
  
• Willingness to learn new tools, technologies, and engineering methods.
  
• Ability to work independently and in a fast-paced environment.
  
  

Preferred Qualifications

• Previous internship, university projects, competitions, or laboratory experience.
  
• Experience with CAD/CAE/simulation/testing tools.
  
• Driving license (B1/B2) is an advantage for vehicle testing-related positions.
  
• English communication skills.
  
• Experience in AI, data analysis, or automation is a plus.
  
  

Personal Characteristics

• Proactive and eager to learn.
  
• Responsible and disciplined at work.
  
• Positive attitude and growth mindset.
  
• Detail-oriented and highly organized.
  
• Able to work under pressure in a startup or dynamic environment.
  
• Strong collaboration mindset across engineering teams.