Supercharger Service Engineering Intern
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Job Description
About the Company:
Tesla’s Internship Recruiting Team is dedicated to identifying and developing emerging talent. Their year-round program places interns in positions designed for technical, professional, and personal growth. Interns work closely with managers, mentors, and teams, contributing to critical projects and experiencing life at Tesla firsthand.
Job Description:
This internship with Tesla’s Supercharger Service Engineering team focuses on three key areas: field monitoring and failure analysis, new firmware deployment, and field service support. The role involves leveraging big data and algorithms to analyze and identify issues in the field, triggering investigations and hardware replacements. The intern will contribute to improving the hardware’s performance by assisting in new firmware deployment and piloting new features before full release. Additionally, the intern will help create and maintain service manuals and field support documentation.
Specific Responsibilities:
• Understanding the technical components, functionality, and interactions of a Tesla Supercharger, including hardware and software systems.
• Performing data analytics across several databases to identify issues impacting key performance indicators (KPIs) such as availability, performance, and service cost.
• Modeling data using analytical tools and presenting findings/trends to stakeholders.
• Improving problem-solving skills through collaboration with a multidisciplinary team.
• Learning the life cycle of new firmware releases and features.
• Learning the life cycle of hardware improvements and new hardware replacements.
• Extending data analytics programming skills.
Required Skills and Qualifications:
• Bachelor’s or Master’s degree in engineering (preferably Electrical Engineering, Computer Science, or Data Science).
• Basic data analysis skills (Excel, SQL, Python, Spark, Presto).
• Basic coding skills (Python, Ruby, Java, SQL).
• Familiarity with signal analysis techniques and tools, and the ability to interpret signal waveforms, patterns, and anomalies.
Preferred Skills and Qualifications:
• High-power DC EV charging experience and power electronic converters.
• Power system protection basics (power system protection relays, settings, and coordination).
• Prior experience creating data analytics infrastructure, tools, and insights on large datasets.
• Exposure to the development of advanced control algorithms.
Additional Notes:
• The internship is expected to run from May 2025 through August/September 2025, potentially extending into Fall 2025.
• A minimum of 12 weeks full-time, on-site work is required.
• International students with CPT authorization must verify their ability to work 40 hours per week before applying. On-site work for 40 hours per week is mandatory.
