Your expertise in computer vision algorithms, combined with your understanding of robotics principles, will be crucial in solving a wide variety of challenges involving visual perception, SLAM, motion planning, controls, and state estimation. This role requires not only technical expertise in computer vision and robotics but also the ability to make pragmatic engineering tradeoffs, considering the unique constraints of aerial platforms.

You will work at the intersection of 3D perception and computer vision, developing robust algorithms that power real-time decision-making for autonomous aerial systems. You will design experiments, data collection efforts, and curate training/evaluation sets to develop insights for both internal purposes and customers.

As a member of our team, you will collaborate closely with robotics, software, and hardware teams to integrate perception algorithms into autonomous aerial systems. You will work with vendors and government stakeholders to advance the state-of-the-art in perception and world modeling for autonomous aerial systems.

Required qualifications include a BS in Robotics, Computer Science, Mechatronics, Electrical Engineering, Mechanical Engineering, or related field, with strong knowledge of 3D computer vision concepts, including multi-view geometry, camera models, photogrammetry, and 3D reconstruction techniques. You should have fluency in standard domain libraries (numpy, opencv, pytorch, etc), proven understanding of data structures, algorithms, concurrency, and code optimization, and 6+ years of professional industry experience working with C++ or Rust programming languages.

Preferred qualifications include an MS or PhD in Robotics, Computer Science, Mechatronics, Electrical Engineering, Mechanical Engineering, or related field, experience with perception systems for aerial robotics or other highly dynamic platforms, and knowledge of path planning algorithms and their integration with perception systems in dynamic environments.

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