Senior Autonomous Driving Software Engineer, L4 Planning

Responsibilities

• Build the main stack for autonomous driving, focusing on prediction, decision-making, planning, and control architecture
• Craft robust system-level safety and fallback strategies within classical safety stacks
• Implement end-to-end data-driven AV pipelines and large-scale model inference architectures
• Integrate classical and end-to-end hybrid systems to ensure seamless scalability from research to production
• Collaborate with a world-class engineering team to build a unified production platform

Requirements

• BS or higher in an engineering or technical field (Mechanical, Electrical, Computer Science, Physics, etc.) or equivalent work experience
• At least 6 years of hands-on experience in developing production autonomous driving systems
• Proficiency in forecasting, scheduling, and control frameworks for autonomous vehicles
• Experience with AI foundation models, large-scale ML systems, and end-to-end driving models
• Strong background in robotics or embodied AI systems and system architecture from concept to scale

About the Company

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. Today, we’re tapping into the unlimited potential of AI to define the next era of computing, where our GPUs act as the brains of computers, robots, and self-driving cars that can understand the world.