Internship, Data Engineer, Fleet Analytics (Winter/Spring 2027)

Tesla Internship Program This position is expected to start around January 2027 and continue through the entire Spring term (ending approximately May 2027 or later, if available). We ask for a minimum of 12 weeks, Full - Time (40 hours/week) 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. 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. Come join a small team of versatile engineers and data enthusiasts who sit at the center of Tesla's device telemetry and turn the petabyte-scale real-world data firehose into actionable insights. Data powers Tesla's product and engineering culture. We leverage massive volumes of real-world data to improve vehicle firmware reliability, optimize hardware designs, proactively detect faults, enhance robotics systems, and balance load on the electrical grid. We collect data from our vehicles, Robotaxis, Superchargers, energy storage devices, and Optimus robots and follow the full lifecycle of these products and their software — uncovering patterns and driving improvements that make our products better and our customers safer. Fleet Analytics is a central team that partners directly with firmware, hardware, robotics, autonomy, integration, automation, and other engineering teams. We help them through deep hands-on analysis and by building the production tools they rely on every day. We're looking for someone who has repeatedly turned messy, high-volume data into dashboards, internal tools, interactive visualizations, and enable AI driven decision making easier. As builders, we transform high-value insights into robust full-stack web applications, software frameworks for efficient training and modeling, complex systems that drive action, and self-serve platforms so hundreds of engineers can move faster. You will own these applications from concept to production — including deployment, ongoing maintenance, community support, and on-call. Our stack runs on Spark, Trino with Python, SQL, React, Jupyter, Airflow (and whatever else gets the job done cleanly at petabyte scale).

Pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. The total compensation package for this position may also include other elements dependent on the position offered. Details of participation in these benefit plans will be provided if an employee receives an offer of employment.