Autonomy Zip Perception SWE
Core
Design and deploy cutting-edge algorithms for aircraft and obstacle detection, localization, and tracking using monocular and multi-view camera systems to enable safe autonomous navigation in complex environments.
Role type
Senior IC machine learning and perception engineer (autonomous systems)
Builds
Perception stack for autonomous drone delivery systems
Domain
Autonomous logistics / Aerial robotics / Computer vision
Deliverable
production ML models
Required skills
Deep learning for object detection and tracking, Geometric computer vision (stereo vision, depth-from-motion, structure-from-motion, visual odometry), 3D situational awareness, Scalable model training pipelines, Edge case handling, Simulation and real-world feedback integration
Preferred skills
Experience with commercially operated autonomous systems, Debugging and visualization tooling, Cross-disciplinary collaboration
Technologies
Monocular cameras, Multi-view camera systems, Deep learning frameworks, Geometric vision libraries
Responsibilities
Design and deploy perception algorithms for aircraft and obstacle tracking, Develop scalable model training pipelines and evaluation frameworks, Collaborate with systems and flight test teams on end-to-end test plans, Create debugging and analysis tools for field data, Refine ML models and classical tracking algorithms using simulation and real-world feedback, Contribute to the long-term architecture of the detect-and-avoid system