Your mission will be to enable UAS to intelligently react to unforeseen situations and adverse external conditions, so as to preserve the integrity of the flight and achieve its operational objectives
Job Summary
Your mission will be to enable UAS to intelligently react to unforeseen situations and adverse external conditions, so as to preserve the integrity of the flight and achieve its operational objectives.
Lead the perception stack lifecycle (AI/ML training, fusion, and validation) to meet safety-critical standards for autonomous obstacle avoidance and situational awareness.
Play a key part in a project at the forefront of the development of technology to enable UAS flight and open the way for complex missions.
Matching Summary
Your mission will be to enable UAS to intelligently react to unforeseen situations and adverse external conditions, so as to preserve the integrity of the flight and achieve its operational objectives.
Skills & Requirements
Must-have
airborne sensors (EO/IR, Radar, LIDAR)
AI/ML frameworks (TensorFlow, PyTorch)
Model-Based Systems Engineering (MBSE)
aerospace certification frameworks and standards
Detect and Avoid (DAA) systems
cross-functional integration of Perception
flight-test operations
Nice-to-have
startup-like environment
holistic, "big picture" systems thinking
eagerness to take initiatives
healthy skepticism for progress
transparency, humility & empathy
flexibility and fun
work remotely
Key Requirements
Expert-level knowledge of airborne sensors
Proven proficiency in AI/ML frameworks
Extensive experience in Model-Based Systems Engineering
Demonstrated ability to navigate aerospace certification frameworks
Proven track record leading cross-functional teams