Senior Algorithm Engineer -- Autonomous Vehicles

NVIDIA•Santa Clara, CA

16h

About The Position

Join NVIDIA’s DRIVE Road Structure, Online Mapping, and Context Fusion team to develop a comprehensive 3D world model by integrating map and perception data. The work enables autonomous vehicles to navigate complex roads and intersections in the U.S. and Europe. You will collaborate with perception and planning teams to deliver solutions for autonomous navigation in real-world, unconstrained environments, while helping lead technical initiatives and grow the engineering team.

Requirements

Bachelor’s, master’s, or PhD in computer science or a related field, or equivalent experience.
At least 10 years of experience, including at least 2 years in autonomous vehicles or robotics.
At least 2 years of technical leadership experience.
Passion for robotics and autonomous vehicles.
Eagerness to learn and solve impactful challenges.
Excellent communication and collaboration skills, particularly with global teams.
Strong independent and analytical software-engineering abilities.
Experience with embedded or automotive software development.

Nice To Haves

Expertise in 3D geometry, computer vision, sensor calibration, or state estimation, such as Kalman or particle filters.
Significant industry experience with self-driving cars.
Background in developing real-time computer-vision systems.
Strong API and framework design skills.

Responsibilities

Develop foundational autonomous-driving systems across diverse geographies by combining perception deep neural networks and map data.
Integrate sensor and external inputs to generate real-time 3D models for planning and navigation.
Design enriched bird’s-eye-view models to enable HD-mapless driving in complex urban environments.
Construct fused static-obstacle and occupancy grids, and generate occlusion masks to improve scenario understanding.
Guide the team in solving challenging autonomous-vehicle problems and contribute hands-on to technical innovation.
Recruit, hire, and mentor engineers.
Develop algorithms that perform reliably across large datasets and varied conditions while adhering to automotive quality and safety standards.