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Senior Autonomous Driving Software Engineer, L4 Planning

NVIDIA
China, Beijing
Full-time
You apply on NVIDIA's own careers site

You will build system architecture for L4 autonomous driving, with a focus on prediction, decision-making, planning, and control. The role brings together classical safety systems, end-to-end driving pipelines, and large-scale model inference for production vehicles.

Permanent
6+ years
Bachelor's degree or higher in a technical field, or equival

Skills & Expertise

Autonomous driving systems
Prediction, planning, and control
System architecture
Safety and fallback strategies
End-to-end AV pipelines
AI foundation models
Large-scale ML systems
Robotics and embodied AI

Key Responsibilities

Build the main autonomous driving stack for prediction, decision-making, planning, and control.

Implement system-level safety strategies and integrate classical and end-to-end systems.

Develop data-driven pipelines and inference architecture that can scale from research to production.

Full Description

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people. Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world.

Are you passionate about revolutionising autonomous driving? At NVIDIA, we're on a mission to build the next generation of AI-native autonomous driving systems. Our team in Shanghai, China, stands at the forefront of blending classical safety architectures with powerful AI-based systems. Join us and help define the future of autonomous vehicles!

What you'll be doing:

As a Senior Autonomous Driving System Engineer, L4, you will be central to crafting and constructing the architecture behind next-generation autonomous driving systems. Your work will involve:

• Building the main stack for autonomous driving, concentrating on prediction, decision-making, planning, and control architecture.

• Crafting robust system-level safety and fallback strategies within classical safety stacks.

• Implementing end-to-end data-driven AV pipelines and large-scale model inference architectures.

• Integrating classical and end-to-end hybrid systems, ensuring seamless scalability from research to production.

• Collaborating with a world-class team of engineers to build a unified production platform that sets new standards in the industry.

What we need to see:

We are looking for engineers who can build comprehensive systems and not just individual components. You should have:

• A 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.

• A strong background in robotics or embodied AI systems and system architecture from concept to scale.

Successful candidates will bring deep technical expertise in autonomy architecture, ML systems, or robotics platforms and thrive on solving complex real-world problems. If you're ambitious and have a proven track record of developing flawless, world-class systems, this is the place for you!

Widely considered to be one of the technology world’s most desirable employers, NVIDIA offers highly competitive salaries and a comprehensive benefits package. As you plan your future, see what we can offer to you and your family www.nvidiabenefits.com/

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Applications are handled on NVIDIA's site