NVIDIA is seeking a Senior Software Engineer to join their DRIVE Road structure / Online mapping / Context Fusion team, focusing on autonomous vehicles technology. This role is central to NVIDIA's vision in autonomous vehicles, where you'll be crafting the future of self-driving solutions by developing complete 3D world models and fusing signals between map and perception systems.
The position offers an exciting opportunity to work on cutting-edge technology that directly impacts the future of transportation. You'll be collaborating closely with perception and planning teams to create world models capable of handling the most challenging roads and intersections in both the U.S. and China. The role involves developing core functionality for autonomous driving, generating real-time 3D world models, and enabling HD mapless driving in complex urban scenarios.
As a technical leader, you'll be guiding the team in solving complex autonomous vehicle challenges while maintaining a hands-on approach. The role requires a strong background in software engineering, with particular emphasis on embedded or automotive platforms. The ideal candidate will have at least 5 years of experience, including 2+ years in the autonomous vehicles or robotics industry.
NVIDIA offers a competitive compensation package with a base salary range of $148,000 - $287,500 USD, plus equity and comprehensive benefits. The company is committed to fostering a diverse work environment and is an equal opportunity employer. This is an opportunity to join one of technology's most desirable employers and work on technology that could significantly impact society by addressing the global challenge of traffic accidents, which cause approximately 1.25 million deaths worldwide annually.
The position offers both in-person work in Santa Clara, CA, and remote options in Nevada, providing flexibility while working on meaningful problems that require innovation in 3D geometry, computer vision, and state estimation algorithms. Join NVIDIA to be part of a team that's defining the future of autonomous transportation.