Member of Technical Staff, Perception

What you'll do

• Lead the design and integration of perception and navigation systems for robotic platforms.
• Develop robust state estimation and localization pipelines using multi-sensor data.
• Build spatial representations for navigation, including occupancy maps and semantic models.
• Integrate perception outputs with planning, control, simulation, and fleet operations systems.
• Architect perception-navigation pipelines to meet practical constraints like latency and reliability.
• Analyze field logs and sensor data to identify root causes and improve system robustness.

What we're looking for

• Deep experience developing robotics perception or navigation systems, including SLAM and sensor fusion.
• Systems-level understanding of how perception, localization, mapping, planning, and controls interact in deployed autonomous systems.
• Proficiency in C++ and Python for building performant, testable, production-quality robotics software.
• Experience with robotics middleware like ROS/ROS2 and tools such as Nav2, MoveIt, Gazebo, or equivalent autonomy development environments.
• Familiarity with modern perception methods including 3D computer vision, neural scene representations, and semantic segmentation.
• Ability to deploy perception and navigation systems on physical robots and debug real-world issues effectively.
• Experience designing evaluation frameworks for localization, mapping, perception, and navigation performance.