The opportunity
Nuro believes self-driving vehicles are the most immediate and profound opportunity for AI to drive positive change in the physical world. Safer streets, more time for what matters, and easier access to the world around us, that’s why we’re building a universal autonomy…
What you'll do
Design and build scalable, machine learning-based prediction systems to: generate multi-modal, realistic, and kinematically feasible trajectories.
Conduct cutting-edge research in generative sequence modeling and sequential: decision-making. Areas of interest include, but are not limited to:
Scalable generative sequence modeling approaches.
Marginal, conditional, and joint distribution modeling for interactive agents.
Transformer-based encoder-decoder architectures.
Large generative models and diffusion models.
What they're looking for
- Controllability of agents via conditioning, guidance, and other techniques.
- Collaborate closely with the Planning team to design realistic and: controllable agents for closed-loop simulation, enabling agent training via Reinforcement Learning (RL).
- Mitigate accumulated uncertainties across interconnected autonomy components.
- Collaborate across various autonomy teams to develop holistic solutions for: top challenges, proposing ideas, prioritizing.
