Overview

Tesla Model vehicles can use their unique combination of cameras, radar, ultrasonic sensors, and fleet data to autonomously navigate highways, change lanes, and adjust speeds in response to
traffic. We are building the world’s best Autopilotexperience by taking advantage of network connectivity and fleet data. We are looking for exceptional individuals with experience in data
science and engineering to help us advance our maps for Autopilot. The ideal candidate is self-driven, excited to learn new technologies, and interested in solving challenging problems using real-
world data gathered from our fleet of autonomous vehicles. The candidate will work on our autonomous telemetry pipelines and design machine learning algorithms to enhance the quality of
our autonomous driving experience.

Responsibilities:

  • Design and implement scalable algorithms that ingest telemetry data for geospatial modeling to be used in autonomous driving
  • Design and implement big data workflows using Spark and Python
  • Research and develop state-of- the-art mapping algorithms for backend processing, optimized for applications in embedded systems
  • Work with a cross-functional team of autonomous software & hardware engineers, application/UI engineers, QA/Validation, and designers Requirements:
  • BS/MS/PhD in Computer Science, Information Systems, Electrical Engineering, or the equivalent in experience, and evidence of exceptional ability
  • Solid experience in machine learning, signal processing, or statistics, preferably in the mapping space
  • Strong programming skills with a solid foundation in data structures, algorithms, and software design
  • Experience with big data frameworks such as Hadoop/Spark
  • Proficiency in Python and experience with data analysis libraries such as pandas, numpy, scipy, and scikit-learn; C++ programming experiencepreferred
  • Knowledge of Unix/Linux environments and version control systems (e.g., Git)
  • High standards for code quality, maintainability, testing, and performance
  • No prior experience with car software required.