Autonomy Engineer Intern, Computer Vision / Deep Learning, Summer 2027
Hybrid (San Mateo, California, United States)InternPosted 1mo ago
About the role
Internship role focusing on architecting and implementing computer vision and deep learning algorithms that run on Skydio drones, with pairing to core software development team and ownership of impact-driven projects.
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
Qualifications
- 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, 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
- Obtaining FAA Part 107 certification within the first 60 days of employment is strongly encouraged for all Skydio employees and required for certain positions.
Skills
Required:C++Python
Nice to have:PyTorch
Benefits
- 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.
Last updated Sep 17, 2026. Interested? Apply on the company site.
About Skydio
A family of flying robots.
AI-powered autonomous drones for Drone as First Responder (DFR), critical infrastructure inspection, tactical ISR, site security, surveying and mapping
DronesAutonomous SystemsInspectionSecurityMappingPublic SafetyNational Security
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