What to Expect
Location: Tilburg
Duration: 6 months
Start date: January 2026
Length: Fulltime (40h 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 motitaved intern to help us advance the automation of Low Voltage systems diagnostic. The role involves analyzing repair data, developing automation logic, validating it on large data sets, and creating procedures to boost efficiency. Please highlight and detail related personal projects in your CV.
Project example: https://service.tesla.com/service-mode
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

• Analyze repair data to identify most common electrical repairs and create specifications to automate their detection using vehicle log data
• Develop and validate automation logic for automated diagnostic scripts
• Create optimized diagnostic procedures for multi-issue scenarios (e.g., guiding technicians through common harness failure points) and draft articles within our troubleshooting knowledgebase, called Toolbox
• Collaborate with teams on data collection, automation outputs, and progress reporting

What You’ll Bring

• Currently enrolled in programs related to Engineering / Computer Science
• Strong knowledge and proficiency with Python
• Familiar with git process and git-based plaform (GitHub)
• Basic knowledge of electrical systems or wiring harnesses (automotive experience a plus)
• Thrives in fast-paced environments with a proactive approach
• Level C1 in English (spoken and written)

Tesla is an Equal Opportunity / Affirmative Action employer committed to diversity in the workplace. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, age, national origin, disability, protected veteran status, gender identity or any other factor 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

• Analyze repair data to identify most common electrical repairs and create specifications to automate their detection using vehicle log data
• Develop and validate automation logic for automated diagnostic scripts
• Create optimized diagnostic procedures for multi-issue scenarios (e.g., guiding technicians through common harness failure points) and draft articles within our troubleshooting knowledgebase, called Toolbox
• Collaborate with teams on data collection, automation outputs, and progress reportin