Logo of Huzzle


Guidance, Navigation, & Controls (GNC) Intern [Fall 2024]

Logo of Zipline


12d ago

🚀 Off-cycle Internship

San Francisco

AI generated summary

  • You must excel in applied math, enjoy simulations and hardware work, have developed controls solutions, and possess skills in precision navigation, dynamic modeling, and software engineering.
  • You will contribute to designing, testing, and analyzing flight algorithms, create tools for performance testing, analyze flight data for improvements, design integrity tests, and present results to the team.

Off-cycle Internship

EngineeringSan Francisco


  • Zipline’s people thrive on finding elegant solutions to complex problems, given what exists today and what we can develop to maturity quickly and confidently. We stay close to our customers, learn what really works, and find where we can put the leverage to make a big difference for them now. 
  • As an intern on the GNC team, you will learn how we fly autonomous aircraft in a range of challenging flight conditions. Using data from flight testing and simulation as well as our global fleet of customer aircraft, you will be looking for insights that can help improve our design. Through this you’ll have the opportunity to make changes to our aircraft controls that measurably improve our product - your work will not just be theoretical; you will have the opportunity to see your contributions fly!


  • Your applied math skills stand out even among aerospace engineers.
  • You think simulations and working with hardware are both fun.
  • You have owned and developed controls solutions for a team project, thesis, or competition
  • Exposure in one or more of the following areas: precision integrated inertial navigation, dynamic modeling of complex systems, linear control analysis, or optimal control with uncertainty.
  • Software engineering skills, preferably with both embedded software (C, C++) and technical computing (MATLAB, python, Julia, etc.). Experience with Github and working in a multi-developer environment is an advantage

Education requirements

Currently Studying

Area of Responsibilities



  • Contribute to the design, implementation, testing and release of innovative flight algorithms that improve the operational performance of our vehicle controllers
  • Create tools and tests to demonstrate your design performance and protect against software regressions, using both theoretical guarantees and simulations
  • Analyze flight data to assess recent changes and upgrades, looking for regressions and potential areas for future improvement
  • Design onboard integrity tests to communicate when the system performance is degraded
  • Present key results and changes to the broader engineering team


Work type

Full time

Work mode



San Francisco