Senior Research Scientist - Generative World Models for Autonomous Driving and Physical AI

We are seeking an outstanding Research Scientist or Research Engineer with a passion for synthetic data generation and its application to training autonomous driving models of tomorrow.

As part of NVIDIA's Physical AI Platform Research team, you will drive modern research at the intersection of AI, simulation, and autonomy. You will help develop the next generation of secure self-driving vehicles and Physical AI!

Responsibilities:

• Research, prototype, and develop new techniques using synthetic data, generative world models, and simulation. The goal is to improve training, evaluation, and generalization of next-generation autonomous driving systems.

• Collaborate across research and product organizations to translate new AI advances into scalable technologies. Develop positive relationships with internal research teams, engineering, and product groups to accelerate innovation.

• Drive the future of safe autonomous driving by crafting the research direction and technical roadmap of Alpamayo. Advance safe, robust, and scalable Level 4 autonomous vehicle capabilities through meaningful research and innovation transfer.

Requirements:

• Ph.D. in Computer Science, Electrical Engineering, Robotics, or a related field (or equivalent experience).

• 6+ years of relevant professional experience with a strong background in deep learning, artificial intelligence, computer vision, machine learning, simulation, or autonomous systems.

• Proven research excellence, evidenced by a strong publication record in leading AI and computer vision symposiums and periodicals (e.g., NeurIPS, CVPR, ICCV, ECCV, ICLR, ICML, TPAMI), along with experience translating research into impactful, real-world systems.

• Exceptional software engineering skills, including expert-level programming in Python and experience building scalable machine learning systems and contributing to large, collaborative codebases.

• Hands-on experience in one or more of these areas is required: synthetic data generation, generative environment representations, or simulation. Experience in end-to-end autonomous driving, vision-language models, foundation models, or reasoning for embodied AI is also relevant.

• Strong communication and collaboration skills. Able to work effectively with diverse research and engineering groups and communicate complex technical ideas. Drives projects from conception to deployment.

• Self-motivated, curious, and driven by making a difference, with a passion for advancing the state of the art while delivering research that influences products deployed at scale.

Benefits:

You will also be eligible for equity and benefits.