Logo of Huzzle


Systems Modeling Engineering Intern [Fall 2024]

Logo of Zipline


13d ago

🚀 Off-cycle Internship

San Francisco

AI generated summary

  • You must have a drive to help others and solve complex problems, strong classical physics knowledge, proficiency in Matlab/Python/Julia, and experience with model-based systems design. Nice to have: understanding of batteries, motors, numerical methods, and data interpretation.
  • You will build aircraft performance models, develop computational tools, analyze test data, and optimize control strategies as a Systems Modeling Engineering Intern at Zipline.

Off-cycle Internship

EngineeringSan Francisco


  • Leading the way in drone delivery requires pushing the limits of individual component technologies and carefully orchestrating which ones we put together to optimize the performance of the complete vehicle. How much of the benefit of a larger motor is counteracted by its aerodynamic penalty? How much range are we willing to give up for extra payload capacity? How do we optimally control battery charging – electrically and thermally – to strike a balance between turnaround time and battery longevity?
  • If these types of questions get you excited, you’re in the right place. Zipline is seeking an engineering intern that can see the big-picture couplings between subsystems, and then build the models and code infrastructure to simulate them. These simulations will directly drive critical architectural and operational decisions at the aircraft and fleet level.


  • A drive to help people and make the world a better place
  • Passion for tackling challenging multidisciplinary problems
  • A strong grasp of classical physics
  • The ability to recognize and model interactions between physical components and subsystems
  • Expertise in Matlab, Python, Julia, or similar, for modeling, simulation, optimization, and/or data analysis
  • Nice to have:
  • Basic understanding of batteries, electric motors, and/or aircraft dynamics; and typical approaches to modeling them
  • Proficiency in numerical methods
  • Experience interpreting experimental data
  • Experience with model-based systems design, ideally in an extracurricular setting

Education requirements

Currently Studying

Area of Responsibilities



  • Build physics-based models that underlie aircraft performance simulations
  • Develop computational tools to automate high-level design trades, optimizations, and sensitivity studies
  • Analyze test data to validate vehicle component models
  • Devise frameworks for optimizing high-level control strategies


Work type

Full time

Work mode



San Francisco