NVIDIA is a leading technology company focused on making self-driving vehicles a reality. In this role, you’ll contribute to the development of advanced 3D world models that integrate map and perception data, enhancing the capabilities of autonomous vehicles in complex environments.
Responsibilities:
- Contribute to Core Autonomous Driving Systems: Help develop and refine systems that integrate state-of-the-art perception and mapping technologies for use in diverse driving environments
- Build Real-Time 3D World Models: Assist in creating dynamic 3D models by combining data from sensors and external sources to support planning and navigation
- Support Mapless Driving Capabilities: Work on enriched bird’s-eye-view (BEV) models to enable autonomous vehicles to navigate complex urban settings without relying solely on high-definition maps
- Enhance Scenario Understanding: Help build static obstacle and occupancy grids, and generate occlusion masks to improve the vehicle’s understanding of its environment
- Collaborate Across Teams: Work closely with perception and planning teams, learning from experts and contributing to shared goals
- Maintain High Standards: Write high-quality code and follow automotive industry best practices for safety and reliability
Requirements:
- Bachelor's or Master's degree in Computer Science, Engineering, or a related field (or equivalent experience)
- 5+ years of relevant software development experience, ideally with some exposure to robotics, autonomous vehicles, or related fields
- Eagerness to learn and grow in the field of robotics and autonomous driving
- Strong problem-solving and analytical skills
- Good communication and teamwork abilities, especially in a diverse and global environment
- Experience with embedded systems or automotive platforms is a plus
- Familiarity with 3D geometry, computer vision, sensor calibration, or state estimation algorithms (e.g., Kalman or particle filters)
- Experience working on real-time computer vision systems
- Skills in designing APIs or software frameworks