Data is deeply embedded in the product and engineering culture at Tesla. We rely on data – lots of it – to improve autopilot, to optimize hardware designs, to proactively detect faults, and to optimize load on the electrical grid. We collect data from each of our cars, Superchargers, and energy storage devices to make these products better and our customers safer.
We're the Fleet Analytics team, a central team that helps many teams leverage the data we collect. We help engineers through direct support by doing data analysis for them and through applications and tools so they can self-serve those analyses in the future. To do so, we leverage our internal data platform built on top of AWS, S3, Spark, Trino using open source data science tools such as Jupyter notebooks, Pandas, Bokeh, Superset, and Airflow. Our work has a direct impact on Tesla's product, and enables the work of hundreds of engineers across disciplines throughout the company.
We're looking for a talented engineer to own the full breadth of data engineering, data analysis, and data science activities for one of our partner engineering teams. You will leverage Tesla's wealth of device data and a first-principles approach to problem solving to inform future hardware and firmware designs, as well as ensuring that our existing vehicles, chargers, and energy devices continue to perform to Tesla's exacting standards. In this embedded role you will partner with a team focusing on another discipline (e.g., mechanical engineering, electrical engineering, or firmware engineering), joining their projects to help define product requirements, optimize control algorithms, or otherwise improve the product quality. You will also work with other members of Fleet Analytics for peer reviews, technical growth, and to build sophisticated tools and and infrastructure for working with device data. These tools will be used across the team to improve our efficiency and also shared with the rest of the company so that those we do not directly support still benefit from our work.
Along with competitive pay, as a full-time Tesla employee, you are eligible for the following benefits at day 1 of hire:
$104,000 - $348,000/annual salary + cash and stock awards + benefits
Pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. The total compensation package for this position may also include other elements dependent on the position offered. Details of participation in these benefit plans will be provided if an employee receives an offer of employment.
Tesla is an Equal Opportunity / Affirmative Action employer committed to diversity in the workplace. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, age, national origin, disability, protected veteran status, gender identity or any other factor protected by applicable federal, state or local laws.
Tesla is also committed to working with and providing reasonable accommodations to individuals with disabilities. Please let your recruiter know if you need an accommodation at any point during the interview process.
Privacy is a top priority for Tesla. We build it into our products and view it as an essential part of our business. To understand more about the data we collect and process as part of your application, please view our Tesla Talent Privacy Notice
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