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As a Reinforcement Learning Planning Research Intern, you will develop a Safety-Critical Trajectory Correction module for autonomous vehicles using deep reinforcement learning to enhance safety in navigation.
Software
Contribute to the design and implementation of an automated Map Change Detection Pipeline for autonomous vehicles, focusing on LiDAR-based localization and mapping algorithms.
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Intern will work on Vision-Language models for strategic decision-making in autonomous driving, focusing on knowledge distillation techniques for model deployment.
