Job Description
A research and engineering role focused on developing and deploying advanced generative models for autonomous driving, including plan generation and decision-making, to enhance the safety and efficiency of self-driving vehicles at scale.
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 world foundation models.
- Optimize generative models through reinforcement learning and reward modeling.
- Explore joint prediction, planning, self-play, and active learning techniques.
- 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 models by deploying them on the NuroDriver platform.
Requirements
- A Ph.D. or M.Sc. degree with at least 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, applied to 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 and qualifications
Annual performance bonus
Equity options
Competitive benefits package
Ready to Apply?
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