What to Expect

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Consider before submitting an application:  

This position is expected to start around January 2026 and continue through the Winter/Spring term (approximately April 2026) or into Summer 2026 if available and there is an opportunity to do so. We ask for a minimum of 12 weeks, full-time and on-site, for most internships. Our internship program is for students who are actively enrolled in an academic program. Recent graduates seeking employment after graduation and not returning to school should apply for full-time positions, not internships.

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International Students: If your work authorization is through CPT, please consult your school on your ability to work 40 hours per week before applying. You must be able to work 40 hours per week on-site. Many students will be limited to part-time during the academic year.  to experience life at Tesla by giving them ownership over projects that are critical to their team’s success.

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What You’ll Do

• Assist in analyzing Tesla fleet data and statistics to support improvements in traffic prediction and routing algorithms
• Help design, prototype, and evaluate algorithms that enhance traffic prediction accuracy and the customer driving experience
• Work with Tesla Navigation Software Engineers to test and refine algorithms prior to deployment at scale
• Contribute to building test plans, tools, and pipelines that verify the quality of trip planning features
• Support validation efforts to catch regressions and ensure smooth rollouts of updated algorithms
• Prepare clear summaries of findings, results, and trade-offs for technical teams and decision-makers

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What You’ll Bring

• Currently pursuing a degree in Statistics, Operations Research, Computer Science, Data Science, or a related field, with a graduation date between May 2026 – December 2027
• Proficiency in Python, Go, and C++
• Familiarity with exploratory statistical analysis and testing on large data sets
• Experience with at least one of the following: Navigation and Routing, Machine Learning, Graph Algorithms
• Exposure to designing and evaluating forecasting or optimization methods through coursework or projects
• Demonstrated ability to collaborate on open-ended projects, work hands-on, and adapt quickly in fast-paced environments

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