Autonomy Simulation Engineer Intern

Perot Jain; Zürich; Hybrid; CHF 54,000 - 80,000; Part time

Job summary

Skydio is a leading drone company focusing on autonomous flight and the next generation of drone autonomy. This Research Intern role places you with a world-class CV/deep learning team, owning projects that advance simulation capabilities used by our autonomy stack.

You will develop core simulator modules, work with engineers across autonomy, perception, and controls, and contribute to the long-term technical direction of the Skydio Simulator while documenting insights for the team.

Qualifications

• Strong software engineering experience with C++ and Python.
• Experience building complex systems where performance, determinism, or correctness matter.
• Comfort reasoning about time-synchronized systems, state machines, or real-time execution.
• Ability to work in a large, evolving codebase with multiple stakeholders.
• Interest in robotics, simulation, or physical systems (prior robotics experience is a plus, not a requirement).

Responsibilities

• Develop core simulator components in C++ and Python, working close to real-time constraints.
• Collaborate with autonomy, perception, and controls engineers to align simulation behavior with real-world systems.
• Debug complex interactions between physics, sensors, autonomy logic, and rendering.
• Help shape the long-term technical direction of the simulator as both a product and an internal platform.
• Contribute to documentation and shared understanding of how the simulator works internally.

Skills

C++

Python

Real-time systems

Robotics interest

Large codebase collaboration

Time-synchronized systems

Debug complex interactions

Job description

Skydio is a leading drone company focusing on autonomous flight and the next generation of drone autonomy. This Research Intern role places you with a world-class CV/deep learning team, owning projects that advance simulation capabilities used by our autonomy stack.

You will develop core simulator modules, work with engineers across autonomy, perception, and controls, and contribute to the long-term technical direction of the Skydio Simulator while documenting insights for the team.