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 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.
About the Program:
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.
About the Role:
Wing is looking for a North American Logistics Systems Intern to join our Forward Logistics/ Global Transportation based in Palo Alto, CA.
The North American Logistics Systems Intern will design and develop next-generation logistics software solutions to support Wing’s rapid metro expansion across North America. In this role, you will build an integrated, AI-powered North American Transportation Management System (TMS) portal featuring automated inbound scheduling and a real-time operational metrics dashboard. By leveraging Google’s Gemini AI models alongside modern software development practices, you will transform logistics operations, streamline supply chain workflows, and enhance visibility across our distribution network.
In this role you will:
- Design, build, and deploy an integrated, AI-powered North American Transportation Management System (TMS) portal to optimize regional logistics workflows.
- Develop an automated inbound scheduling tool utilizing Google’s Gemini AI models to streamline dock operations and supply chain intake.
- Create a real-time operational metrics dashboard providing end-to-end visibility across Wing’s North American distribution network.
- Collaborate with cross-functional logistics and engineering teams to transform supply chain operations for rapid metro expansion.
- Build an AI-powered North American shipping portal to optimize logistics workflows and supplements TMS.
- Develop an automated inbound scheduling tool utilizing Google Gemini AI models for efficient dock operations.
- Create a real-time operational metrics dashboard providing full visibility across the distribution network.
What You’ll Need:
- Currently pursuing a Bachelor's or Master's degree in Supply Chain Management, Logistics, Industrial Engineering, Computer Science, or a related technical field, with an expected graduation date between December 2027 and August 2028.
- Demonstrated experience with software development and coding (e.g., Python, Java, or C++) applied to supply chain or logistics problems.
- Hands-on project experience or coursework involving AI/ML models (such as LLMs or Google Gemini) and data analytics for process optimization or dashboarding.
- Strong understanding of transportation management systems (TMS), inbound scheduling workflows, or distribution network logistics.
Wing is an equal opportunity employer and it is Wing's 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 person's 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.
