Transform the future of autonomous driving by designing innovative scenario preprocessors and postprocessors, evaluating VLM driving harnesses, and communicating research findings to diverse audiences in a cutting-edge research environment.

Unlock potential by designing and scaling advanced Reinforcement Learning algorithms for simulation and autonomous driving, collaborating with cross-functional teams to enhance driving realism and safety through innovative research and development.

Advance the field of synthetic data generation by developing tools and training models, while presenting innovative methods to enhance data-driven decision-making in robotics and machine learning.

Build innovative tools for synthetic driving data analysis, train models, and communicate findings. Collaborate in a dynamic environment to enhance data generation methods and improve decision-making processes in robotics.

Join a dynamic team to architect innovative hardware solutions for ML inference, collaborating with cross-functional engineers to enhance performance and efficiency in autonomous driving technologies.