Perception Lead

The Role You will own Kovari's perception stack end-to-end—from raw sensor data to actionable representations for both learned policies and classical control. Your systems will run on deployed robots in real hotel environments, handling the messy realities of variable lighting, glass surfaces, temporary obstacles, and repetitive architecture. What You’ll Do Build perception systems for manipulation tasks and localization/navigation Optimize camera pipelines for low latency, high-frequency performance suitable for both policy consumption and classical robotics stacks Develop real-time object detection, segmentation, and pose estimation for live deployed robots Solve environment-specific challenges: dynamic obstacles, lighting variation, repetitive textures, reflective surfaces Debug perception failure modes on deployed hardware in the field What you bring Deep C++ and systems knowledge with experience optimizing camera frame pipelines for low-latency, high-hz perception Strong background in classical computer vision: extrinsic calibration, SLAM, visual odometry, point cloud registration Experience with learned perception: detection, segmentation, depth estimation, pose estimation Sensor fusion and state estimation expertise (Kalman filters, factor graphs) Track record building safety-critical perception systems on deployed hardware Values The single most important factor for success is pace of learning. Refining our craft is something we pursue relentlessly. Low ego, high ownership. Commitment to the mission. We work in-person, and this isn't a 9-to-5. We're building something hard, and we need people who are all-in. #J-18808-Ljbffr Kovari