软件工程师，车队分析 Software Engineer, Fleet Analytics

What To Expect 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 develop applications which leverage our wealth of device data. These applications will span the full breadth of data engineering, data analysis, and data science activities, taking 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. Applications will include full-stack web applications , software frameworks to enable efficient training and modeling, and complex systems which drive action. You will be responsible for bringing these applications from concept to production in collaboration with other members of Fleet Analytics, as well as providing ongoing maintenance and community support. In addition, you will occasionally partner with a team focusing on another discipline (e.g., mechanical engineering, electrical engineering, or firmware engineering), joining a critical project to help them define product requirements, optimize control algorithms, or otherwise improve the customer experience or product quality.

What You’ll Do

• Build applications and data pipelines that optimize the efficiency and accuracy of analysis over petabytes of data
• Design and implement metrics, applications and tools that will enable engineers by allowing them to self-serve their data insights
• Write clean and tested code that can be maintained and extended by other software engineers
• Provide guidance to Tesla's data engineering and data science community regarding best practices
• Keep up to date on relevant technologies and frameworks, and propose new ones that the team could leverage
• Identify trends, invent new ways of looking at data, and get creative in order to drive improvements in both existing and future products
• Give talks, contribute to open source projects, and advance data science on a global scale

What You’ll Bring

• Proficiency in Mandarin & English (speaking and listening): Sufficient to actively participate in technical discussions and meetings.
• Strong proficiency in Python, SQL, and/or Scala
• Experience with frontend development in React
• Experience writing software in a professional environment
• Experience building data pipelines
• Experience building web applications
• Experience with infrastructure tools - e.g., Linux, Ansible, Docker, Kubernetes
• Abie to approach complex problems from a first principles perspective
• Smart but humble, with a bias for action