Autonomy Engineer Intern - Computer Vision/Deep Learning Fall
Listed on 2026-05-31
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Engineering
Software Engineer, Robotics, AI Engineer
Location: Zürich
Autonomy Engineer Intern - Computer Vision/Deep Learning Fall 2026
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 and deep learning team with researchers who have pushed the state of the art in academia and industry.
We are looking for interns for our Fall program. 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 strong fit:
- High proficiency in C++ and/or Python and Py Torch
- 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
- Ability to thrive in a fast-paced, collaborative, small team environment
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Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or other characteristics protected by federal, state or local anti-discrimination laws.
Skydio provides equal employment opportunities to applicants and employees without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or disability.
Skydio is a federal contractor or subcontractor subject to certain governmental recordkeeping and reporting requirements for the administration of civil right laws and regulations. Employment decisions are made on the basis of job‑related criteria without regard to race, ethnicity, color, religion, sex, sexual orientation, gender identity, marital status, age, genetic information, national origin, disability, military, or veteran status, or any other classification protected by applicable law.
We invite all applicants to voluntarily self‑identify their race, ethnicity, and gender. Submission of the information on this form is strictly voluntary and refusal to provide it will not subject you to any adverse treatment. Information obtained will be retained in a confidential file and separate from personnel records. This information may only be used in accordance with the provision of applicable federal laws, executive orders, and regulations.
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://(Use the "Apply for this Job" box below)./
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