In this role, you'll lead the development and implementation of advanced algorithms and technologies, enabling our robotic platforms to effectively and safely navigate complex environments, focusing on algorithm efficiency and scalability to ensure our navigation systems operate reliably, swiftly, and efficiently at scale, which will be crucial in shaping the future of our navigation capabilities.

Collaborate with perception experts and experienced roboticist to build solutions that scale from the lab to the customer, for one of the largest-scale robotics projects in history. You will architect, design, and implement state of the art solutions in Sensing, Machine Learning & Data Platform, Mapping, Labeling, State Estimation, Localization, Calibration and Performance. Develop production quality software while maintaining a strong safety culture.

As a research scientist working on Learnable Planner, you will invent new AI technologies that support scalable planning solutions enabling our launch of fully driverless autonomous trucks. You'll design and execute a research agenda for deep-learning based motion planning for self-driving. You will also leverage and advance the state-of-the-art in robotics and machine learning to enable safe self-driving at scale.

Contribute to developing cutting-edge solutions for core robotic manufacturing technologies. You'll lead the design, development, evaluation, and optimization of advanced robotic systems. Develop motion planning, simulation, and perception algorithms for robotic arms using ROS2 and MoveIt. Write clean, efficient, and well-documented code in C++ and Python.