Skydio
Autonomy Engineer Intern - Computer Vision/Deep Learning Summer 2027
About this role
Join Skydio's autonomy team as a Computer Vision/Deep Learning intern to develop and research the algorithms that enable autonomous drone flight. You'll work alongside experienced researchers to prototype novel approaches, implement features, and advance the state-of-the-art in aerial intelligence systems.
What you'll do
- Design and implement computer vision and deep learning algorithms for autonomous drone systems
- Research and prototype new approaches to advance autonomy capabilities
- Take direct ownership of a meaningful project that impacts product development
- Characterize and quantify performance of software and hardware components
- Develop new features that enhance autonomous flight and user experience
- Collaborate with core software development team on algorithm evaluation and deployment
What they're looking for
- C++ and/or Python programming
- PyTorch deep learning framework
- Computer vision algorithms and techniques
- Deep learning and neural networks
- Software engineering and code architecture
- Motion planning or dynamics and controls (preferred)
- 3D graphics or distributed systems (preferred)
- Mathematical foundations and algorithm analysis
Benefits
- Work on cutting-edge autonomous systems deployed in real products
- Mentorship from world-class researchers and engineers
- Opportunity to push state-of-the-art in drone autonomy
- Fast-paced, collaborative team environment
- Eligible for benefit plans and various incentives
Opens the application — the Jobs AI extension fills it for you. Set up autofill
Opens the official application on the employer’s site. No login required.
Skydio
Skydio builds autonomous drone technology powered by sophisticated RF, electrical, and embedded systems. The company is hiring RF engineers, electrical engineers, embedded software engineers, cloud platform engineers, and deployment engineers to develop and support its connected drone products.
- Website
- skydio.com
Likely interview questions
- Tell us about a computer vision or deep learning project where you solved a challenging problem—what was your approach and what did you learn?
- How have you used PyTorch in a project, and what motivated your choice of that framework?