Autonomy Engineer Intern, Autonomy Infrastructure, Systems and Tools, 2027 (Zurich)

The role

You will architect and implement algorithms and scalable tools for autonomy development and testing. You will work with a computer vision and deep learning team to advance the capabilities of drones and products.

What you will do

• Design and build robust replay and analysis systems.
• Develop scalable infrastructure for automated testing and failure triage.
• Operate at the interface between autonomy software and core robotics middleware.
• Design and implement high-quality developer infrastructure and tools.
• Lead the design and implementation of scalable tools used across autonomy development and testing workflows.
• Collaborate with autonomy, QA, and infrastructure teams to gather requirements and deliver tooling.
• Build tools that streamline stages of the robotics development process.
• Take ownership of internal services from concept through deployment and monitoring.
• Contribute to the long-term vision and roadmap for developer tools.

Required qualifications

• Proficiency in C++ and Python.
• Strong grasp of performance-sensitive and multi-threaded systems.
• Experience with simulation frameworks, time-synchronized data systems, or state-machine-driven applications.
• Familiarity with structured data visualization, log processing, or developer tooling design.
• Strong communication skills.
• Ability to partner effectively with cross-functional teams.
• Comfort operating in a fast-paced environment where requirements evolve and priorities shift.

Nice to have

• Experience building performance-sensitive systems (profiling, multithreading, real-time constraints) in robotics, aerospace, automotive, or similar domains.
• Exposure to robotics / simulation / physics engines.
• Background in telemetry systems, log ingestion pipelines, or automated test environments.
• Front-end development skills in modern web frameworks (e.g., React, TypeScript, Three.js, Plotly) with a focus on data interaction and visualization.
• Familiarity with distributed systems or cloud-hosted services used to support internal tools and customer applications.

About the company

Skydio is the leading US drone company and the world leader in autonomous flight. The team combines expertise in artificial intelligence, hardware and software product development, operational excellence, and customer obsession.