Skydio is the leading US drone manufacturer and world leader in autonomous flight, the key technology for the future of drones and aerial transportation. The Skydio team combines deep expertise in artificial intelligence, best-in-class hardware and software product development, and operational excellence to empower a broader, more diverse audience of drone users - from action sports enthusiasts to first responders.
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.
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.
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 strong fit:
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
At Skydio we believe that diversity drives innovation. We have created a multi-disciplinary environment that embraces the power of diverse perspectives to create elegant solutions for complex problems. We are committed to growing our network of people, programs, and resources to nurture an inclusive culture.
As such, we do not make hiring or other employment-related decisions on the basis of an applicant or employee’s race, color, ethnicity, national origin, citizenship, sex (including pregnancy, childbirth, breastfeeding and related medical conditions), pregnancy, gender, gender identity or expression, age, religion, disability status, sexual orientation, marital status, medical condition, generic information or characteristics, veteran, military or family status, or other classifications protected by applicable federal, state or local anti-discrimination laws.