Applied Scientist - Perception (SLAM/VIO), Fauna
Core
Develop and optimize Visual Inertial Odometry (VIO) and sensor fusion systems for intelligent robots to enable real-time state estimation and tracking in dynamic environments.
Role type
Applied Scientist (Perception/SLAM)
Builds
Perception systems and autonomy stack components for robotic platforms like Sprout
Domain
Robotics, Computer Vision, Embedded Systems
Deliverable
production ML models
Required skills
Visual Inertial Odometry, sensor fusion, state estimation, embedded optimization, deep learning for perception, numerical optimization, C++, Python, Java
Preferred skills
Real-time systems programming, ARM/GPU platform profiling, legged robot state estimation, stereo vision, camera-IMU calibration, ROS/ROS2, neural depth estimation, technical leadership
Technologies
NVIDIA Jetson, Qualcomm RB5, ARM, GPU, ROS/ROS2, EKF, factor graphs