Lead AI Scientist: Generative World Models for Self-Driving

NVIDIA Gruppe; Santa Clara (CA); On-site; USD 192,000 - 356,500; Full time

Benefits offered by this job

Equity

Benefits

Job summary

NVIDIA is seeking an outstanding Research Scientist or Research Engineer to advance synthetic data generation for training autonomous driving models within the Physical AI Platform Research team. The role combines AI, simulation, and autonomy, requiring production-grade software engineering and a strong publication track record.

You will develop generative world models, synthetic data pipelines, and scalable solutions for Level 4 autonomous driving research, with collaboration across

Qualifications

• Ph.D. in a relevant field or equivalent research experience.
• 6+ years in deep learning, AI, CV, ML, simulation, or autonomous systems.
• Strong publication record in AI/CV venues and journals.
• Expert-level Python programming and scalable ML system experience.
• Hands-on experience with synthetic data generation, generative models, or simulation.
• Excellent communication and cross-functional collaboration skills.

Responsibilities

• Research, prototype, and develop new techniques using synthetic data, generative models, and simulation to improve training and evaluation of autonomous driving systems.
• Collaborate with research, engineering, and product teams to translate advances into scalable technologies and products.
• Define research direction and contribute to the technical roadmap for autonomous driving and simulation efforts.

Skills

Python

Deep learning

Computer vision

Research experience

Education

Ph.D. in Computer Science, Electrical Engineering, Robotics, or related field

Job description

NVIDIA is seeking an outstanding Research Scientist or Research Engineer to advance synthetic data generation for training autonomous driving models within the Physical AI Platform Research team. The role combines AI, simulation, and autonomy, requiring production-grade software engineering and a strong publication track record.

You will develop generative world models, synthetic data pipelines, and scalable solutions for Level 4 autonomous driving research, with collaboration across