Member of Technical Staff – Robotics and Physical AI (AI2523)

Job Title: Member of Technical Staff – Robotics and Physical AI

Job Location: San Jose, CA (This position requires a full-time, on-site presence in our San Jose, CA office)

Job ID: AI2523

Job Description:

We are seeking an exceptional Member of Technical Staff to join our Robotics and Physical AI team. This role will focus on building vision-based perception, localization, and navigation systems for autonomous mobile robots, drones, and future robotic platforms.

The ideal candidate has deep hands-on experience in computer vision, visual-inertial odometry, visual SLAM, and autonomous navigation. They should be comfortable working across traditional geometric vision methods and modern deep-learning-based approaches, with experience deploying these systems on embedded or edge-compute platforms.

This is a senior individual-contributor role with opportunities to lead technical direction, mentor engineers, and influence the long-term development of our robotics and Physical AI solutions.

Key Responsibilities:

Architect and develop vision-based perception, localization, mapping, and navigation systems for AMRs, drones, and other robotic platforms. Develop and integrate visual odometry, visual-inertial odometry, visual SLAM, sensor fusion, and 3D scene-understanding pipelines. Apply both traditional computer vision and deep-learning techniques for feature extraction, object detection, segmentation, depth estimation, tracking, and obstacle understanding. Optimize and deploy computer vision and AI workloads on embedded and edge-compute platforms. Collaborate with robotics, hardware, AI, and systems teams to validate solutions in simulation, hardware-in-the-loop environments, and real-world deployments. Provide technical leadership, mentor engineers, and contribute to the long-term vision for robotics and Physical AI.

Required Qualifications:

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