Nvidia Algorithm Engineer 

United States, California 

330271665

What you'll be doing:

• 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.

What we need to see:

• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field (or equivalent experience).

• 8+ 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.

Ways to Stand Out from the Crowd:

• 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.