Skydio Autonomy Engineer Intern at Skydio focusing on computer vision and deep learning algorithms for autonomous drones. Own and implement projects that advance autonomy capabilities and integrate research into real products.
Responsibilities
The core of our system is the computer vision algorithms that allow drones to understand the world around them. You will architect and implement the algorithms that run on every drone powered by Skydio as part of a world class computer vision and deep learning team with researchers who have pushed the state of the art in academia and industry.
As a Research Intern, you will be paired up with one or more members of our core software development team, assuming direct ownership of a project that meaningfully advances the capabilities of our team and products.
If you have a strong foundation in math, theory, and software development and you are interested in directly contributing to the development of the next generation of autonomy algorithms and pushing them into real products, we would love to hear from you.
How you'll make an impact:
Enable rapid research and development of intelligent systems with advanced autonomous capabilities beyond anything that exists in the world today
Research, prototype, and generally assess the feasibility of new approaches
Imagine and then implement new features that unlock magic for our users
Characterize and quantify the performance of core components of the software and hardware stack
What makes you a good fit:
High proficiency in C++ and/or Python and PyTorch
Demonstrated enthusiasm for one or more of the following: computer vision, deep learning, motion planning, dynamics and controls, 3D graphics, distributed systems, and tools/infrastructure
Solid software engineering foundation and a commitment to writing clean, well-architected code
Qualification
Ability to thrive in a fast-pacedEnthusiasm for computer vision
Required
High proficiency in C++ and/or Python and PyTorch
Demonstrated enthusiasm for computer vision, deep learning, motion planning, dynamics and controls, 3D graphics, distributed systems, or tools/infrastructure
Solid software engineering foundation and commitment to writing clean, well-architected code
Ability to thrive in a fast-paced, collaborative, small team environment
Preferred
Enthusiasm for computer vision, deep learning, motion planning, dynamics and controls, 3D graphics, distributed systems, and tools/infrastructure
Obtaining FAA Part 107 certification within the first 60 days of employment is strongly encouraged
