Internship, Reliability Engineer, Cell Engineering (Fall 2024)
Consider before submitting an application:
This position is expected to start in-person around August or September 2024 and continue through the entire fall term (i.e. through end of 2024) or into early 2025 if available. We ask for a minimum of 12 weeks, full-time and on-site, for most internships. Please consider before submitting an application.
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
Our team develops and performs cutting edge and industry leading qualification techniques of battery cells that influence the future direction of Tesla products. We are looking for an Engineering Intern who can independently lead technical projects, analyze and summarize large amounts of data, and use critical engineering judgement to plan, execute, and report.
Leverage the vast amounts of data generated throughout the cell qualification process to help Tesla design and produce safer, lower-cost, and high-performance cells.
Analyze and visualize data to identify trends and risks in cell programs
Create tools for rapid analysis of datasets and characterization techniques
Aid in designing tests and analyzing data to understand fundamental battery degradation modes
Currently pursuing a degree in Data Science, Reliability Engineering, Math, Mechanical Engineering, Materials Science or a related field
Understanding of Design for Reliability and Design of Experiments
Proficient in Python data analysis and visualization
Proficiency in statistical modeling and scripting, knowledge of Design of Experiments, DFMEA and Design for Reliability, experience collaborating with design, manufacturing, and testing teams, proficiency in data analysis
Familiarity with reliability software tools and Weibull analysis, knowledge of mechanical and electrochemical battery cell failure modes, Data Science, Data Engineering
Knowledge on lithium-ion cell life modeling and electrochemical mechanism is a plus but not required