Sr. Applied Scientist - Perception (SLAM/VIO), Fauna
Core
Design, implement, and deploy Visual Inertial Odometry (VIO) and sensor fusion systems for intelligent robots to enable real-time state estimation and tracking in dynamic environments.
Role type
Senior Applied Scientist (Perception/SLAM/VIO)
Builds
Perception systems and autonomy stacks for robotic platforms like Sprout
Domain
Robotics, Computer Vision, Embedded Systems
Deliverable
production ML models
Required skills
Visual Inertial Odometry (VIO), sensor fusion, embedded systems optimization, deep learning, state estimation, algorithm development for resource-constrained hardware
Preferred skills
Neural odometry, learned features, depth estimation, geometric techniques, multi-sensor fusion pipelines
Technologies
ARM, GPU-accelerated edge devices, Java, C++, Python, Tensorflow, numpy, scipy
Responsibilities
Design and implement VIO algorithms for robust real-time state estimation; Develop multi-sensor fusion pipelines integrating cameras and IMUs; Optimize perception algorithms for embedded hardware under latency and power constraints; Apply ML-based perception techniques to complement classical geometric approaches; Build and maintain calibration, evaluation, and benchmarking infrastructure; Collaborate with hardware, controls, and navigation teams to integrate perception outputs; Lead technical projects from research prototyping through production deployment
Seniority
Senior, hands-on IC