Senior Algorithm Engineer, Map-Perception Fusion

at Nvidia

📍 Santa Clara, United States

USD 184,000-356,500 per year

SENIOR

✅ On-site

Tech Stack
Tag name is followed by "@" symbol and proficiency level value. About proficiency levels:

1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;

3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;

7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;

10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.

API @ 6 Algorithms @ 3 Communication @ 6 Computer Vision @ 3 Robotics @ 7 Software Development @ 7

Details

Join the DRIVE Road Structure, Online Mapping, and Context Fusion team to help build the next generation of self-driving technology. The role focuses on developing advanced 3D world models that combine map and perception data, enabling vehicles to safely navigate complex roads and intersections in the United States and China.

Responsibilities

Help develop and refine core autonomous driving systems that integrate perception and mapping technologies for diverse driving environments.
Create real-time 3D world models by combining sensor data and external data sources to support planning and navigation.
Support mapless driving capabilities through enriched bird’s-eye-view (BEV) models for navigating complex urban environments without relying solely on high-definition maps.
Build static obstacle and occupancy grids and generate occlusion masks to improve environmental understanding.
Collaborate with perception and planning teams in a diverse and global environment.
Write high-quality code and follow automotive industry best practices for safety and reliability.

Requirements

PhD with at least 1 year of relevant experience, MS with at least 4 years of relevant experience, or BS/equivalent experience with at least 6 years of relevant experience in Computer Science, Computer Engineering, or a related technical field.
Strong software development experience, ideally with exposure to robotics, autonomous vehicles, or related fields.
Eagerness to learn and grow in robotics and autonomous driving.
Strong problem-solving and analytical skills.
Good communication and teamwork abilities.
Experience with embedded systems or automotive platforms is a plus.

Preferred Qualifications

Familiarity with 3D geometry, computer vision, sensor calibration, or state estimation algorithms such as Kalman or particle filters.
Experience working on real-time computer vision systems.
Skills in designing APIs or software frameworks.