What to Expect

Consider before submitting an application:  

This position is expected to start around January or February 2025 and continue through the entire Spring term (i.e. through May 2025) or into Spring/Summer 2025 if available. We ask for a minimum of 12 weeks, full-time and on-site, for most 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 are dedicated to providing 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.

What You’ll Do
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

What You’ll Bring
Working towards your BS or MS in Mechanical Engineering, Computer Science, 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 engineering concepts with relevant project/research experience

Palo Alto, California

Intern/Apprentice