About Wing: 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 three 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. To do this, we must build a workforce that's representative of the global communities that we serve. If you're ready to do the greatest work of your life, come join us. About the Program: Wing is hosting a 12 week paid internship during the summer of 2025. It will be an in-person, hybrid internship based in Palo Alto, CA with start dates either in May or June. About the Opportunity: Wing is looking for aGuidance, Navigation & Control Software Engineering Intern to join our Guidance, Navigation & Control team based in Palo Alto, CA. Our team develops control laws and sensor fusion algorithms to enable our fleet of unmanned aerial vehicles to make deliveries without any human intervention. We work closely with our perception, simulation, mapping, and aero design teams to ensure reliable operations of our current vehicles and support development of novel vehicles to meet our partners' needs. As part of our team you will help develop high-fidelity dynamic simulation tooling that will enable rapid iteration and evaluation of new designs. In this role, you will:
- Develop high-fidelity dynamic simulation tooling that will enable rapid iteration and evaluation of new designs.
- Build vehicle models based on recorded flight data.
- Collaborate with the sim team to incorporate dynamic models into our simulation ecosystem.
- Work with GNC engineers to develop and refine control laws for our fleet of VTOL delivery drones.
What You'll Need:
- Currently pursuing a Bachelor's, Master's, or PhD degree in Aerospace Engineering, Mechanical Engineering, Mechatronics, Computer Science, Electrical Engineering, or related field, graduating between December 2025 and August 2026
- Experience with modeling and simulating dynamic systems
- Experience writing C++, MATLAB, or Python code
- Familiarity with classical feedback control system design and analysis
- Familiarity with aircraft control system principles
- Familiarity with System Identification principles is a plus
- Familiarity with open-source robotics software platforms (e.g. ROS, Gazebo) is a plus
This is your chance to:
- Help create a radically new way to deliver goods that is more economical and environmentally friendly than the status quo.
- Gain valuable experience at the forefront of the rapidly growing drone delivery industry.
- Be a part of a dynamic and collaborative team at a company backed by Alphabet.
The US base salary range for this internship position is the salary range below + benefits. Wing's salary ranges are determined by role, level, and location. Your recruiter can share more about the specific salary range for your location during the hiring process. Salary Range $118,000-$122,000 USD At Wing, we don't just accept differences - we celebrate it, we support it, and we thrive on it for the benefit of our employees, our products and our community. We are committed to equal employment opportunities regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, Veteran status, criminal histories consistent with legal requirements, or any other characteristic protected by federal, state or local laws. We encourage individuals from all backgrounds to apply. If you think this position could be a fit but are unsure about applying, we would still love for you to do so! If you have a need that requires accommodation due to a disability or special need, please let us know by completing our Candidate Accommodations Request Form.