Senior Software Engineer - Autonomous Vehicles

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, working on creating complete 3D world models by fusing signals between map and perception systems.

The position involves developing cutting-edge solutions for autonomous driving, working with state-of-the-art perception DNNs and map signals. You'll be responsible for generating real-time 3D world models, enabling HD mapless driving in complex urban scenarios, and building fused static obstacles and occupancy grids. The role requires both technical leadership and hands-on development, including mentoring team members and ensuring algorithms perform well across diverse environments.

NVIDIA offers a competitive base salary range of $148,000 - $287,500 USD, along with equity and comprehensive benefits. The company is at the forefront of autonomous vehicle technology, working on solutions that could help reduce the 1.25 million annual traffic-related deaths worldwide. As a leader in accelerated computing and AI, NVIDIA provides an environment where you'll work with some of the most forward-thinking people in the technology industry.

The ideal candidate will have 5+ years of experience, including 2+ years in the autonomous vehicle or robotics industry, and a strong background in computer science. Experience with 3D geometry, computer vision, sensor calibration, or state estimation algorithms is highly valued. The role offers the opportunity to work on meaningful problems that could revolutionize transportation while being part of a global team dedicated to pushing the boundaries of autonomous vehicle technology.

Working at NVIDIA means joining a company committed to diversity and inclusion, offering the chance to contribute to groundbreaking technology that's transforming industries and society. The position provides a unique blend of technical challenges, leadership opportunities, and the chance to make a real impact on the future of autonomous vehicles.