Become an expert on subsystems within the Maps and Navigation stack to perform validation reviews and risk assessments before releasing software to the fleet
Write and ship software to the vehicle and build automated systems in the backend to generate and analyze fleet data from the millions of Tesla vehicles worldwide
Define evaluation metrics, create visualizations and dashboards to support the monitoring and refinement of our navigation systems
Implement and improve internal tools to accelerate experimentation and debugging of features
Orchestrate and optimize tests, simulations, and analyses across distributed compute
Work cross-functionally to investigate and fix issues that you identify
What You’ll Bring
Strong proficiency with one of the following: Python, C/C++, Golang, or Java
Experience with Linux/Unix environments and system administration
Experience with CI/CD systems
Experience with large scale data processing and querying
Excellent critical thinking, problem solving, and communication skills
A passion for troubleshooting failures to determine root causes
A passion for constantly improving code quality and system efficiency, testability, monitoring, & observability