Autonomy Zip Perception SWE
Core
Design and deploy perception algorithms for detecting, localizing, and tracking aircraft and tall obstacles to provide robust 3D situational awareness for autonomous systems.
Role type
Senior IC perception software engineer (autonomy)
Builds
Detect-and-avoid perception systems for autonomous aircraft and vehicles
Domain
Autonomous aviation / Geometric computer vision
Deliverable
production ML models
Required skills
deep-learning object detection and tracking, geometric computer vision (stereo vision, depth-from-motion, structure-from-motion, visual odometry), scalable model-training pipelines, real-world evaluation frameworks, simulation-based testing, debugging and visualization tools, root-cause analysis, architecture design
Preferred skills
experience with commercially operated autonomous systems, resolving performance bottlenecks, handling operational edge cases
Technologies
deep learning frameworks, geometric computer vision libraries, simulation environments
Responsibilities
Develop scalable model-training pipelines and rigorous real-world evaluation frameworks; Collaborate with systems, flight-test, and validation teams to create end-to-end test plans; Build debugging, visualization, and field-data analysis tools; Improve ML models and classical tracking algorithms through simulation and operational feedback; Contribute to the architecture and long-term vision of the detect-and-avoid perception system
Seniority
Senior, hands-on IC
