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Senior Research Engineer - Autonomous Vehicles
NVIDIA
US, CA, Santa Clara · On-site · relocation$15,333–29,708 gross/mofull-timeNVIDIA Careers (offices abroad)
The position will aid fundamental research with the freedom and bandwidth to conduct ground-breaking publishable research. At the same time, you will also have the opportunity to impact products and collaborate with teams that focus on AI products based on CUDA, physically-based simulation, graphics, natural language processing, autonomous driving, HW optimization, robotics, healthcare, and many more.
Responsibilities
- Develop large-scale supervised learning and reinforcement learning training frameworks to support multi-modal foundation models for AVs capable of running on thousands of GPUs
- Implement scalable data loaders and preprocessors tailored for multimodal datasets, including videos, text, and sensor data
- Build and optimize simulation infrastructure (based on GPU-accelerated simulators) to support the training of driving policies for AVs at scale
- Collaborate with researchers to integrate cutting-edge model architectures into scalable training pipelines.
- Develop sim-to-real transfer pipelines and work closely with the AV product team to deploy to real-world cars
- Develop robust monitoring and debugging tools to ensure the reliability and performance of training workflows on large GPU clusters.
Languages
- Work format
- On-site
- Seniority
- Senior
- Posted
- 5 Aug 2026
- Last verified
- In the last 5 days
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