Wing-posted about 1 month ago
$122,000 - $128,000/Yr
Intern
Hybrid • Palo Alto, CA
101-250 employees

Wing offers drone delivery as a safe, fast, and sustainable solution for last mile logistics. Consumer appetites for on-demand services are increasing, but current delivery methods are inefficient, costly, and contribute to road accidents and air pollution. Wing’s fleet of highly automated delivery drones can transport small packages directly from businesses to homes on-demand, in minutes. We design, build, and operate our aircraft, and offer drone delivery services on two continents. Our technology is designed to be easy to integrate into existing delivery and logistics networks, offering a scalable drone delivery solution for a broad range of businesses. Wing is a part of Google's parent company, Alphabet, and our mission is to create the preferred means of delivery for the planet. If you're ready to do the greatest work of your life, come join us. Join Wing's 12-week paid summer internship! This is a hybrid, in-person program based in Palo Alto, CA, with start dates in May or June. Eligible candidates must be a current student enrolled in a degree program and intend to return to the program after the completion of the summer internship. Wing is looking for a Guidance, Navigation, Control Software Engineering Intern to join our Wing Flight Systems based in Palo Alto, CA. Wing is looking for an intern to join the Guidance, Navigation & Control team! The GN&C team designs and implements algorithms for path planning, state estimation, flight control, actuation, and contingency management. Team members work closely with other engineers in aerodynamics and propulsion, perception and computer vision, machine learning, and embedded software.

  • Currently pursuing a Bachelor's or Master's degree in Computer Science, Engineering, or related field, graduating between December 2026 and August 2027
  • Strong examples of hands-on engineering experience from prior work experience, university programs, internships, or student organizations
  • Experience designing or tuning state estimation for autonomous robots
  • Experience with aircraft dynamics
  • Experience with C++, Python, or Matlab
  • Familiarity with machine learning, statistics, or large scale data analysis
  • Passion for aviation, drones, or related technologies
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