Who We Are

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.

You will

• 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

You have

• 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

We Prefer

• PhD in Computer Science, Math, Robotics, or a related field

• 2+ years of focused industry experience developing perception for unmanned ground vehicles