AeroVect is transforming ground handling with autonomy, redefining how airlines and ground service providers around the globe run day-to-day operations. We are a Series A company backed by top-tier venture capital investors in aviation and autonomous driving. Our customers include some of the world’s largest airlines and ground handling providers. For more information, visit www.aerovect.com.
Develop, optimize and maintain object recognition algorithms using LiDAR, cameras, and radar for reduced-speed environments using both conventional and deep learning techniques
Establish data annotation and evaluation pipelines to measure performance improvements
Collaborate with the hardware team to select, configure, and integrate sensors into the autonomous system
Bachelor’s or Master's Degree in Computer Science, Electrical Engineering, Robotics, or a related field
2+ years experience in development of perception modules for autonomous systems.
C++ & Python proficiency
PhD in Computer Science, Math, Robotics, or a related field
2+ years of focused industry experience developing perception for unmanned ground vehicles
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