Autonomy Tools Engineer Intern

Data Co Lab X

Zürich

Hybrid

CHF 53,000 - 80,000

Part time

14 days+

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Job summary

Skydio, the leading autonomous flight company, seeks a Research Intern to join a world-class computer vision and deep learning team. You will work directly with core software developers to own and advance a project that enhances autonomy capabilities and product integration.

You will pair with team members to design and implement robust tools, replay systems, and infrastructure that support testing, simulation, and data analysis across the stack.

Qualifications

  • Proficiency in C++ and Python with performance-sensitive, multi-threaded systems.
  • Experience with simulation frameworks or time-synchronized data systems.
  • Familiar with data visualization, log processing, or developer tooling design.
  • Strong communication and cross-functional collaboration.
  • Comfort in fast-paced, evolving requirements.

Responsibilities

  • Design and build replay and analysis systems for autonomy behavior.
  • Develop scalable infrastructure for automated testing and failure triage.
  • Define APIs and data contracts at the interface of autonomy software and robotics middleware.
  • Design and implement high-quality developer infrastructure and tools.
  • Lead design of scalable tools across autonomy development and testing workflows.
  • Collaborate with autonomy, QA, and infra teams to gather requirements.

Skills

C++
Python
Multithreading
Communication
Adaptability

Tools

Simulation frameworks
Time-synchronized data
State machines
Data visualization
Logging pipelines

Job description

Skydio, the leading autonomous flight company, seeks a Research Intern to join a world-class computer vision and deep learning team. You will work directly with core software developers to own and advance a project that enhances autonomy capabilities and product integration.

You will pair with team members to design and implement robust tools, replay systems, and infrastructure that support testing, simulation, and data analysis across the stack.

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