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Job Description
Internship, Software Engineer, Update Systems (Fall 2026) | Tesla
The Tone:
This is a full-time, on-site internship at Tesla. Tesla operates a global fleet of vehicles, continuously improving customer experience through technology and over-the-air updates. This role is crucial for ensuring the quality and reliability of the update systems, which are vital for the fleet’s operation and ongoing enhancements. The intern will contribute to projects critical to the team’s success, growing technically, professionally, and personally through close work with a Manager, Mentor, and team.
The TL;DR
• Role: Internship
• Type: Full-time (40 hours/week)
• Location: On-site
• Pay: $40.00 – $56.00 hourly
• Team: Update Systems team
• Mission: This person will design frameworks and infrastructure to validate Tesla’s update systems, ensuring the quality of its components through robust testing.
• Tech Stack: Python, HIL (Hardware-in-the-Loop), SIL (Software-in-the-Loop)
What You’ll Actually Do
• Develop: Create and execute test scenarios, cases, and associated code for update systems within both hardware-in-the-loop (HIL) and software-in-the-loop (SIL) testing environments.
• Maintain: Ensure the continuous operation and reliability of autonomous test and reporting infrastructure, including internal Python tools that facilitate validation efforts and enhance test automation.
• Analyze: Define, gather, and comprehensively report on key performance and health metrics pertaining to the system updater.
• Collaborate: Work cross-functionally to investigate, troubleshoot, and validate identified issues, proactively communicating with developers to identify problems and gaps in testing.
The Must-Haves
• Background: A student currently pursuing a degree in Computer Science or a related field, with an expected graduation date between 2026 and 2027, who is actively enrolled in an academic program.
• Experience: Proven ability to develop tests with reusable code, understand and troubleshoot complicated system interactions, and define test guidelines from specifications.
• Skills: Strong Python programming proficiency, acute attention to detail, and a robust understanding of object-oriented design and algorithms.
• Bonus: Demonstrated ability to drive problems to solutions across different company groups and strong communication skills for effective cross-functional interaction.