PhD Autonomy Engineer Intern - Deep Learning or Computer Vision
About The Position
Skydio is the leading US drone company and the world leader in autonomous flight, the key technology for the future of drones and aerial mobility. The Skydio team combines deep expertise in artificial intelligence, best-in-class hardware and software product development, operational excellence, and customer obsession to empower a broader, more diverse audience of drone users, from utility inspectors to first responders, soldiers in battlefield scenarios and beyond. About the role: 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 team with researchers who have pushed the state of the art in academia and industry. We look for interns year around (Fall, Spring, Summer) in our program. As a PhD 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 with relevant research 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.
Requirements
- High proficiency in C++ and/or Python
- Demonstrated enthusiasm for one or more of the following: computer vision, deep learning, motion planning, dynamics and controls, 3D graphics, embedded software/firmware, distributed systems, tools/infrastructure, mobile
- Solid software engineering foundation and a commitment to writing clean, well-architected code
- Ability to thrive in a fast-paced, collaborative, small team environment
Responsibilities
- 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
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What This Job Offers
Career Level
Intern
Education Level
Ph.D. or professional degree
