Senior Map-Perception Fusion Engineer | Equity Options

NVIDIA; Santa Clara (CA); On-site; USD 184,000 - 357,000; Full time

Benefits offered by this job

Equity

Benefits

Job summary

NVIDIA is seeking talented engineers for the DRIVE Road Structure, Online Mapping, and Context Fusion team to push the boundaries of autonomous driving. You will help build advanced 3D world models, integrate map data with perception, and enable safe navigation in diverse environments, including the U.S.

and China. You will work with experienced engineers to develop real-time mapping, perception, and planning capabilities, while following automotive safety practices and contributing to

Qualifications

• PhD/MS/BS with relevant experience in CS/CE or related field.
• Strong software development experience, ideally with robotics/autonomous vehicles.
• Eagerness to learn and grow in robotics and autonomous driving.
• Strong problem-solving and analytical skills.
• Good communication and teamwork in a diverse, global environment.

Responsibilities

• Contribute to Core Autonomous Driving Systems, integrating perception and mapping technologies.
• Build real-time 3D world models combining sensor data for planning and navigation.
• Support mapless driving with BEV models for complex urban environments.
• Enhance scenario understanding with static obstacle and occupancy grids; generate occlusion masks.
• Collaborate across perception and planning teams and uphold safety and reliability standards.

Skills

Robotics

Autonomous driving

Software development

Problem solving

Teamwork

Education

PhD with 1+ year

MS with 4+ years

BS with 6+ years

Job description

NVIDIA is seeking talented engineers for the DRIVE Road Structure, Online Mapping, and Context Fusion team to push the boundaries of autonomous driving. You will help build advanced 3D world models, integrate map data with perception, and enable safe navigation in diverse environments, including the U.S.

and China. You will work with experienced engineers to develop real-time mapping, perception, and planning capabilities, while following automotive safety practices and contributing to