About this role
Start Date: February 2027
Location: Amsterdam
Duration: 6 months
Fulltime position (40 hours a week)
NOTE: YOU MUST BE ENROLLED IN EDUCATION DURING THE ENTIRE INTERNSHIP TO BE CONSIDERED.
Service Engineering is part of Tesla’s Vehicle Software organization. We build the tools that help technicians find the right information and diagnose any Tesla vehicle or robot fast, so they can repair it right the first time. Our tools also help customers with their own service activities. This lowers the cost of ownership, a direct benefit to every Tesla owner.
You will work alongside bright engineers on complex problems, using the latest technologies. Expect high standards, strong coaching and fast growth to supercharge your career. We are looking for top talent.
In this role, you will focus on the vehicle infotainment system (embedded Linux, applications, networking, Bluetooth, Wi-Fi, audio and display) and mobile app. You will investigate field issues using logs and source code, and build diagnostic tools and alerts on the vehicle (example: https://service.tesla.com/service-mode).
How we work with SI : we use it to brainstorm, trial ideas and generate code, and we encourage you to do the same. But you stay in charge: verify the output, think critically and pay attention to detail.
We are especially interested in your portfolio and personal projects. In your CV, show what you built and achieved yourself, alone or in a team.
Internship Program
Through internships with Tesla Vehicle Software, you grow your skills on complex real-world engineering problems, guided by an assigned mentor. The internship is part of your degree program, and you stay enrolled at your university for its full duration. We work with your university to support your academic requirements.
- Learn how the infotainment system stack works, and improve its diagnosability
- Investigate, root-cause and document field issues on infotainment and mobile app
- Work with software engineers and component owners to fix them
- Propose and build in-vehicle diagnostic software, tools and alerts that help Service teams fix complex issues
- Test with live data on engineering vehicles
- Enrolled in Computer Science, Engineering or related study
- Good knowledge of Linux/Unix and the command line
- System programming fundamentals (IPC, multi-threading, I/O control)
- Experience with C/C++, Python and shell scripting
- Familiar with TCP/IP and debugging tools (GDB, strace, Valgrind, Wireshark)
- Hands-on use of AI coding tools, with a critical eye
- Curious, proactive and rigorous
- Level C1 in English (spoken and written)