Senior Software Engineer, L4 - Autonomous Vehicles

Overview

• 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 NVIDIA is widely recognized as one of the world’s most innovative technology companies — driving breakthroughs in AI, autonomous systems, and high-performance computing.
• As part of our Autonomous Driving division, you’ll work alongside world-class engineers to bring next-generation driving intelligence from research to reality.