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About the role

Build your Career at Tesla

Vehicle Infotainment & System Diagnostic Engineer Internship

What to Expect

Start Date: September 2026

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.

Within Tesla Vehicle Software organization, the Service Engineering team serves as a link between service, manufacturing, and development teams worldwide for all vehicle sub-systems. We review and investigate field issues by analyzing logs and source code, work with relevant software engineers or component owners to implement solutions and improve our products. We develop vehicle software and diagnostic tools to ensure that customer vehicles are diagnosed and repaired accurately, reliably, and as efficiently as possible.

We are looking for a highly motivated engineering intern with an embedded Linux and networking background to help investigate, root-cause, fix and document vehicle infotainment field issues as well as implement diagnostic tools and alerts on the vehicle (example: https://service.tesla.com/service-mode).

Please highlight and detail related personal projects in your CV.

Through internships with Tesla Vehicle Software, university students have the opportunity to learn and grow their professional skillset while working on complex real-world engineering problems. This hands-on experience, which includes software development, integration, testing, and deployment provides a valuable introduction to the industry and Tesla’s dynamic work environment, complementing university learnings with practical experience, under the guidance of an assigned mentor.

What You’ll Do

Understand the inner workings of the infotainment system stack (Embedded Linux, Applications, Networking, Bluetooth, Wi-Fi, Audio, Display...) and improve its diagnosability
Investigate, root cause, fix and document infotainment field issues
Propose and implement in-vehicle diagnostic software to help Service teams identify and fix complex issues by yourself
Develop diagnostic tools and alerts on the vehicle
Leverage AI tools to assist with diagnostic deep-dives and Software implementations

What You’ll Bring

Currently enrolled in programs related to Engineering / Computer Science with interest in AI powered applications
Familiar with Linux/Unix systems and command-line environment
Knowledge of system programming fundamentals (IPC, multi-threading, I/O control)
Familiar with debugging tools (GDB, strace, valgrind, wireshark..)
Experience with shell scripting, C/C++, Python
Familiar with TCP/IP protocols
Thrives in fast-paced environments with a proactive approach
Level C1 in English (spoken and written)
Tesla is an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to any factor, including veteran status and disability status, protected by applicable federal, state or local laws.
Tesla is also committed to working with and providing reasonable accommodations to individuals with disabilities. Please let your recruiter know if you need an accommodation at any point during the interview process.

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