Job Description
A research and engineering role focused on developing and deploying advanced generative models for autonomous driving, including plan generation, decision making, and world modeling, to enhance the safety and efficiency of self-driving vehicles.
Key Responsibilities
- Develop and scale state-of-the-art generative models for autonomous plan generation.
- Build generative models utilizing foundation models, large language models, and multi-modality data.
- Optimize generative models through reinforcement learning and reward modeling.
- Explore joint prediction, planning, and self-play techniques to enhance autonomous driving behaviors.
- Leverage generative models for active learning and world modeling to improve system robustness.
- Develop controllable generative models to guide behavior towards specific goals and conditions.
- Collaborate with autonomy teams to develop holistic solutions for autonomous driving challenges.
- Evaluate and deploy models onto the NuroDriver platform to ensure real-world performance.
Requirements
- A Ph.D. degree or a Master's degree with 3 years of experience working with generative models in the lab, industry, or both.
- Research experience in generative models, particularly diffusion models, flow matching, and energy-based models, for robotics, including manipulation, path planning, and autonomous driving.
- Strong problem solving and programming skills in Python and/or C.
- Demonstrated research publications in top conferences such as NeurIPS, ICLR, ICML, CVPR, RSS, CoRL, etc.
Benefits & Perks
Compensation/salary range between $193,930 and $352,290 annually, depending on experience, qualifications, education, location, and skills
Annual performance bonus
Equity in the company
Competitive benefits package
Ready to Apply?
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