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 Googles parent company, Alphabet, and our mission is to create the preferred means of delivery for the planet. If youre ready to do the greatest work of your life, come join us.
About the Opportunity:
Wing is looking for an engineering intern to join our Simulation team based in Palo Alto, CA. Our team develops tools that enable engineers to develop, test and deploy features efficiently and at scale. Our work spans vehicle physics and sensor modeling, large-scale simulation frameworks, test infrastructure for backend verification, and integrated avionics and system testing. Our team is dedicated to ensuring simulation is the fastest and most reliable way to test changes to our system and introduce new features.
In this role, you will:
- Help us track towards our vision of having simulation be indistinguishable from real flights, by closing the gap between simulation models and real data.
- Analyze real-world data, coming up with new ideas for how to integrate it directly into our simulation models, or prototyping concepts for continuously improving model fidelity from ongoing production flights.
What You’ll Need:
- Currently pursuing a Bachelors, Masters or PhD degree in Aerospace Engineering, Mechanical Engineering, Computer Science, Computer Vision, Robotics, Electrical Engineering or related field, graduating between December 2025 and August 2026
- Strong examples of previous engineering experience from past internships and/or academic or extracurricular projects
- Strong grasp of basic physics and engineering fundamentals in at least one domain (e.g. mechanics, dynamics, electrical, vision, etc.)
- Experience with C++ and/or Python
- Experience with using some numerical or statistics library and environment (e.g. numpy, scipy, pandas, Matlab, R, etc.) to analyze real-world data (e.g. fitting models, simple ML approaches)
This is your chance to:
- Gain experience with leveraging large amounts of real-world data to improve large-scale simulation tools, on a team that is equipped to make your experience as smooth as possible
- Make a measurable impact on Wings ability to scale our operations more rapidly, at the forefront of the rapidly growing drone delivery industry
- Be a part of a dynamic and collaborative team
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.
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
Wing is an equal opportunity employer and it is Wings policy to comply with all applicable national, state and local laws pertaining to nondiscrimination and equal opportunity. Employment at Wing is based solely on a persons merit and qualifications directly related to professional competence. Wing does not discriminate against any employee or applicant because of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), or any other basis protected by law.
If you have a need that requires accommodation during the interview process due to a disability or special need, please let us know by completing our Candidate Accommodations Request Form.
