Autonomy Engineer Intern
Skydio
San Mateo, CAFresher22m agovia LinkedIn
This job at a glance
- Who can apply
- New grads and up to 1 year
- Must know
- Deep learningComputer visionData structures & algorithmsPythonC++PyTorch
- Work
- On-site in San Mateo · internship
- Pay
- Not stated by the employer.
- Skill demand
- Python52%Data structures & algorithms6%Deep learning4%Computer vision1%of 99 similar entry-level jobs posted in the US this week
- Listed
- Nov 8, 2026 · still open
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About the Role
Skydio is seeking an Autonomy Engineer Intern with a focus on Computer Vision / Deep Learning. This role is part of a world-class computer vision and deep learning team responsible for developing the algorithms that power autonomous flight. As an intern, you will be paired with members of the core software development team, taking ownership of a project that significantly enhances the team's and products' capabilities. This is an opportunity to contribute directly to the development of next-generation autonomy algorithms and integrate them into real products.
How You'll Make An Impact
- Enable rapid research and development of intelligent systems with advanced autonomous capabilities.
- Research, prototype, and assess the feasibility of new approaches.
- Imagine and implement new features that enhance user experience.
- Characterize and quantify the performance of core software and hardware components.
Requirements & Tech Stack
- High proficiency in C++ and/or Python.
- High proficiency in PyTorch.
- 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.
- Obtaining FAA Part 107 certification within the first 60 days of employment is strongly encouraged and required for certain positions.
Qualifications
- Strong foundation in math, theory, and software development.