Senior Software Engineer, L4 - Autonomous Vehicles - NVIDIA

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.

At NVIDIA, we are building the next generation AI-native autonomous driving architecture — combining classical safety stacks, foundation models, and scalable AI systems into a unified production platform. Autonomous driving is entering a new era. The next generation of AV systems will not be purely classical robotics stacks, nor purely end-to-end neural networks. The future lies in the deep integration of classical safety architectures and large-scale AI-driven systems. If you want to work on problems that build the future of autonomous systems over the next decade, this is the place.

What You’ll Be Doing:

You will compose and build the architecture behind next-generation self-driving vehicle technology.

Work on Prediction, Decision, Planning and Control architecture

Have exposure to Classical safety stack

Build robust system-level safety and fallback strategies

Work on End-to-end data-driven AV pipelines

Hands on experience in DVLA / VA driving models

Develop a World Model–based planning and reasoning model

Have the exposure to engage with Large-scale model inference architecture

Contribute to the integration of innovative research in robotics into our self-driving vehicle technologies.

Deep knowledge of E2E AV software integration from perception through control, including dependencies, interface management, and performance tuning.

What We Need To See:

We’re looking for engineers who can build systems — not just components.

PhD with 4+ years, MS with 6+ years, or BS (or equivalent experience) with 8+ years of relevant experience in Computer Science, Computer Engineering, or a related technical field.

Production experience in autonomous driving systems

Worked on AI foundation models or large-scale ML systems

Helped drive End-to-end driving models

Experience working on Robotics or embodied AI systems

Knowledge and experience in System architecture from 0 1 scale.

Ways To Stand Out From The Crowd:

PhD in a relevant field or related research experience

Knowledge of CUDA is a plus