Senior Software Engineer, L4 - Autonomous Vehicles
$184k - $357k • US, CA, Santa Clara
Posted 1mo ago
Job Location
US, CA, Santa Clara
Tech Stack
Remote Work Policy
On-site
Categories
Machine Learning Engineer
About the job
NVIDIA is building the next generation AI-native autonomous driving architecture, integrating classical safety stacks, foundation models, and scalable AI systems into a unified production platform. This role focuses on the future of autonomous systems, moving beyond purely classical robotics or end-to-end neural networks to a deep integration of safety architectures and large-scale AI-driven systems. If you are passionate about shaping the future of autonomous systems over the next decade, this is an exceptional opportunity.
Responsibilities
- Compose and build the architecture for next-generation self-driving vehicle technology.
- Work on Prediction, Decision, Planning, and Control architecture.
- Gain exposure to classical safety stacks.
- Build robust system-level safety and fallback strategies.
- Work on end-to-end data-driven AV pipelines.
- Develop a World Model-based planning and reasoning model.
- Engage with large-scale model inference architecture.
- Contribute to the integration of innovative robotics research into self-driving vehicle technologies.
- Ensure deep knowledge of E2E AV software integration from perception through control, including dependencies, interface management, and performance tuning.
Requirements
- PhD with 4+ years, MS with 6+ years, or BS with 8+ years of relevant experience in Computer Science, Computer Engineering, or a related technical field.
- Production experience in autonomous driving systems.
- Experience working on AI foundation models or large-scale ML systems.
- Experience driving end-to-end driving models.
- Experience working on robotics or embodied AI systems.
- Knowledge and experience in system architecture from inception to scale.
Benefits
- Equity
- Benefits