Senior Algorithm Engineer, Map-Perception Fusion

Location: US, CA, Santa Clara, US, Remote, US, WA, Redmond, US, WA, Seattle

Time Type: Full time

Job Description

Are you passionate about the future of autonomous vehicles? Join our DRIVE Road Structure, Online Mapping, and Context Fusion team to help build the next generation of self-driving technology! In this role, you’ll work alongside experienced engineers to develop advanced 3D world models that combine map and perception data, enabling vehicles to safely navigate complex roads and intersections in the U.S. and China. This is a fantastic opportunity to grow your skills and contribute to groundbreaking projects at the heart of our vision for autonomous driving.

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:

• PhD with 1+ year, MS with 3+ years, or BS (or equivalent experience) with 5+ years of relevant experience in Computer Science, Computer Engineering, or a related technical field.

• Strong 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.

At NVIDIA, we’re dedicated to making self-driving vehicles a reality and believe this technology can save millions of lives. Join a team of innovative thinkers at one of the world’s most respected technology companies. If you’re motivated, curious, and ready to make a difference, we’d love to meet you! We believe that building self-driving vehicles will be a defining contribution of our generation (e.g. traffic accidents are responsible for ~1.25 million deaths per year world-wide). We have the funding and scale, but we need your help on our team. NVIDIA is widely considered to be one of the technology world’s most desirable employers with some of the most forward-thinking people in the world working here. If you're entrepreneurial and autonomous, we want to hear from you!

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 152,000 USD - 241,500 USD for Level 3, and 184,000 USD - 287,500 USD for Level 4.Applications for this job will be accepted at least until March 22, 2026.

This posting is for an existing vacancy. 

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.