Thermal Analytics Engineering Internship (Summer 2023)


  • Internships


Disclaimer: This position is expected to start around May 2023 and continue through the entire term (i.e., through August/September) or into early Fall 2023 if available. We ask for a minimum of 12 weeks, full-time, for most internships. Please consider before applying. International students: if your work authorization is through CPT, please consult your school on your ability to work 40 hours per week before applying. Again, please do not apply until you know you can work 40 hours per week. This is required for external applicants. Many students will be limited to part-time during the academic year.

Internship Programs 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 Engineering is the team behind the Tesla Heat Pump, Supermanifold, Octovalve, Superbottle, Airwave, Bioweapon Defense Mode and more. Our multi-disciplinary team of engineers work together across phases of development from idea inception, through prototyping, production, and fleet support.

Thermal R&D is responsible for system-level architecture (including radiators, refrigerant heat exchangers, compressors, fans, pumps, etc.) supporting the cabin, battery, and powertrain across all Tesla vehicles. We’re looking for a key player who can help drive data analytics and work cross-functionally to uncover opportunities in product improvements. Candidates should have experiene working with large data sets, and using data to help create critical metrics, characterize engineering systems, optimize product performance, and build useful data pipelines, visualizations, and dashboards.


  • BS or MS in Mechanical Engineering, Computer Science, Math, Physics, Statistics, or related field
  • Strong proficiency in SQL, Python for writing efficient queries, data manipulation, and analysis
  • Strong knowledge of data visualization techniques and tools using Matplotlib, Plotly, etc.
  • Strong problem solving skills to help refine problem statements and solve them with the available data
  • Exceptional 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 entrepeneurial mindset
  • Experience with distrubuted computing (Spark/Hive/Hadoop)
  • First principles understanding of heat transfer, fluid mechanics, and thermodynamics with relevant project/research experience
  • Experience creating data products and dashboards in Tableau, R Shiny, or D3
  • Experience building machine learning models with demonstrated impact
  • Experience communicating the results of analyses with stakeholders/leadership teams, and working cross-functionally across different teams
  • Experience in developing numerical models and experimental characterization of thermal/fluid/refrigerant systems and head exchanges