Develop and refine models for estimating geometric entities using both modern neural network-based and classical vision techniques
Leverage vast amounts of fleet data for algorithm development and validation
Develop and deploy onboard computer vision systems that operate reliably across millions of Tesla vehicles worldwide
Create and improve robust sensor calibration systems that perform consistently in complex and unpredictable environments
Collaborate closely with a high-caliber team dedicated to realizing full autonomy
What You’ll Bring
Proven ability to rapidly prototype and optimize algorithms
Proficiency in writing production-quality code in modern C++
Proficiency in Python is highly desirable
Solid understanding of linear algebra, geometry, probabilistic theory, numerical optimization, and deep learning, with hands-on implementation experience
Expertise in key areas of computer vision and robotics, such as structure-from-motion, Visual-Inertial SLAM, large-scale mapping and localization, dense 3D modeling, or neural rendering (e.g., NeRF, Gaussian Splatting).