Prognostics/Software Engineer, Reliability Engineering

The reliability data science team's mission is to utilize and leverage large-scale data to help Tesla design and validate the most compelling and reliable products for our customers. For this purpose, we collect real-time life data from test, factory and fleet across all products (energy, charging, and vehicle products) and utilize data-driven models to unlock decision making on prognostics and targeted design actions. The team provides support through the whole design cycle by building software tools that orchestrate all the reliability statistics & physics analyses. We are looking for an experienced and passionate engineer who will focus on our Prognostics and Health Monitoring efforts. This engineer will help define and build both data-driven and physics-based models for reliability prognostics including computation of remaining useful life for Tesla products. This role will be key to helping Tesla utilize the sensory data it collects and develop algorithms to enable prognostics applications at scale and maximize electronic systems availability under the entire spectrum of use conditions.

The level of this position will be determined at the time of the interview.