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Skydio

PhD Autonomy Engineer Intern

San Mateo, CA US
Spring C++ Python Deep Learning
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Description

Skydio is the leading US drone company and the 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 first responders to insurance claims adjusters, utilities, and more!

  • 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.

    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

    Compensation Range: The annual base salary range for this position is $58/hr for PhD students*.  Compensation will vary based on factors, including skill level, proficiencies, transferable knowledge, and experience. In addition to base salary, Skydio full-time employees are eligible to enroll in our benefit plans and take advantage of a variety of incentives and stipends.

    *For some positions the pay may be dependent upon the individual's regional location.

    #LI-PG1

At Skydio we believe that diversity drives innovation. We have created a multidisciplinary 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/gender (including pregnancy, childbirth, breastfeeding and related medical conditions),  gender identity or expression, age, religion, disability status, sexual orientation, marital status, medical condition, genetic information or characteristics, veteran, military or family status, or other classifications protected by applicable federal, state or local anti-discrimination laws.

For positions located in the United States of America, Skydio, Inc. uses E-Verify to confirm employment eligibility. To learn more about E-Verify, including your rights and responsibilities, please visit https://www.e-verify.gov/

Skydio
Skydio
Artificial Intelligence (AI) Drone Management Drones Law Enforcement Machine Learning Robotics

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