Internship, Analytics Engineering, Thermal & Chassis (Winter/Spring 2026)

Consider before submitting an application:

This position is expected to start around August or September 2025 and continue through the Fall term (ending approximately December 2025) or continuing into Winter/Spring 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.

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.

Internship Program at Tesla

The Internship Recruiting Team is driven by the passion to recognize and develop emerging talent. Our year-round program places the best students in positions where they will grow technically, professionally, and personally through their experience working closely with their Manager, Mentor, and team. We provide an experience that allows the intern to experience life at Tesla by including them in projects that are critical to their team's success.

About The Team

Thermal & Chassis Engineering is the team behind the Tesla Heat Pump, Supermanifold, Octovalve, Superbottle, Airwave, Bioweapon Defense Mode and more. Our multi-disciplinary team of mechanical, manufacturing, electrical, aerodynamics, thermal, and analytics engineers works together across all phases of development from idea inception, through prototyping, production, and fleet support. You'll work alongside experts with many years of experience, high aptitude recent graduates, and people from every stage in between. Collaboration, learning, and growth are core to the team's success. We're looking for a key player who can help drive data analytics and work cross-functionally to uncover opportunities in product improvements. The candidate should have experience working with large datasets, and using data to help design critical metrics, characterize engineering systems, optimize product performance, and build useful data pipelines, visualizations, and dashboards.

Location: Fremont, CA

• Analyze vehicle data and extract useful statistics/insights that drive actionable recommendations to improve product performance/quality and customer experience

• Write efficient SQL/Python code and complex queries across extensive data sets

• Build effective models to fuel analytical frameworks that drive material product improvements in hardware optimization, controls, and vehicle diagnostics

• Work effectively with engineers and conduct end-to-end analyses, from data requirement gathering, to data processing and modeling

• Identify, analyze, and interpret trends or patterns in complex data sets and depict the story via dashboards and reports

• Automate analyses and author pipelines using SQL, Python, and Airflow based ETL framework

• Currently pursuing a degree in Engineering, Computer Science, Mechatronics, Math, Statistics or related field

• Proven proficiency in SQL and Python for writing efficient queries, data manipulation, and analysis

• Working knowledge of data visualization techniques and tools using Matplotlib, Seaborn, etc.

• Experience working with time-series sensors data to perform robust engineering analyses

• Good organizational skills and an ability to prioritize and manage multiple projects simultaneously to meet deadlines

• Demonstrated ability to take on projects with a sense of ownership and entrepreneurial mindset

• Experience with distributed computing (Spark /Hive/Hadoop)

• First principles understanding of mechanical/electrical engineering concepts with relevant project/research experience

• Great fundamentals with thermodynamics, fluid mechanics, heat transfer, etc.