Overview As a Sr. Scientist in Robot Navigation, you architect and deliver intelligent, safe, and scalable navigation for autonomous robots. You'll bridge learning-based planning with principled control, applying foundation models to embodied agents and MPC-driven trajectories. You will lead research linking academic advances to production deployments, collaborating with cross-functional teams to advance navigation, perception, and human-robot interaction. This role offers impact at scale, shaping how robots move through dynamic real-world environments. You'll join a mission-driven team devoted to pushing the boundaries of autonomous robotics at scale. Compensation / BenefitsRSUssign-on paymentshealth insurance (medical, dental, vision)401(k) matchingpaid time offparential leave ResponsibilitiesDesign, develop, and deploy perception algorithms for robotics systems (object detection, segmentation, tracking, depth estimation, scene understanding)Lead research in computer vision, sensor fusion, and 3D perceptionCollaborate with robotics engineers, software engineers, and product managers to define and deliver perception capabilitiesDrive end-to-end ownership of ML models-from data collection and labeling strategy to training, evaluation, and deploymentMentor junior scientists and engineers; contribute to a culture of technical excellenceDefine and track metrics to measure perception system performance in real-world environmentsPublish research findings in top-tier venues and contribute to patents Key requirementsPhD in Robotics, Computer Science, Electrical Engineering, Controls, or related field2+ years of experience in robot navigation, motion planning, or autonomous systemsDeep expertise in learning-based navigation (imitation learning, reinforcement learning, neural motion planning, diffusion-based policies)Strong experience with Model Predictive Control (MPC) and optimization-based planning (PyTorch, JAX, or equivalent)Proven track record translating research into deployed systemsProgramming experience in Java, C++, Python or related languageMentoring and coachingCross-functional collaborationEffective communicationLearning-based navigation methods (imitation learning, RL, neural motion planning, diffusion policies)Model Predictive Control (MPC) and optimization-based planningPyTorch or JAX
Not specified in the original listing.
Not specified in the original listing.
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