Software Product Support Engineer - LV power

This role will fit a self-driven engineer that thrives when working on complex, multi-facetted projects that impact thousands of technicians and millions of customers. What You'll Do

• Debug and diagnose LV system field failures remotely and directly in the field, collaborating closely with worldwide service teams. Some occasional travel to perform onsite root cause analysis, testing and training is necessary.
• Develop diagnostic content and onboard and offboard diagnostic software tools. This includes contributing to the "Service Mode" diagnostic tool, developing vehicle alerts, and automating repair plans for service visits.
• Diagnose issues at scale - identify and track common issues or trends, and coordinate with relevant teams to perform further root cause analysis where necessary.
• Design, develop and test improvements, mitigations and diagnostic enhancements in software to mitigate or eliminate issues.
• Support introduction of autonomy and redundancy functions in Europe, including supporting new LV Battery variants and LV architectures, and identify opportunities for LV Battery cross-compatibility for smooth service operations.

Do you have experience in Python?, Do you have a Master's degree?, * MS degree in CS, CE, EE or similar fields.

• Must be fluent in English (additional foreign languages a plus).
• Experience with programming in C
• Experience with data acquisition and analysis and processing tools, including Python
• Able to review electrical schematics
• Knowledge of digital communication and protocols using CAN and Ethernet

Tesla is seeking a Software Product Support Engineer for the LV Battery and LV power distribution to join our Service Engineering team in Europe which is part of the Vehicle Software organization. This role is at a key connection point between the needs of the European market and global software development teams. This role ensures the LV battery and LV power distribution system operate as intended, while minimizing cost of servicing and ownership. This involves analyzing data to identify issues or trends, creating repair and diagnostic procedures for repair technicians, and developing software-based fixes and diagnosability enhancements which roll out Over-The-Air. When a failure mode is unknown or new, Service Engineering get to the root cause and own issues through to resolution. The LV system is currently changing rapidly with the development of autonomous products and redundancy functions.