Computer Vision Software Engineer, Geometric Vision, Self-Driving
Tesla
- 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
- 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).
- Familiarity with GPU programming is an advantage