Electrical Engineer Intern (Spring 2027)

Join Zipline, a leading company in drone delivery and instant logistics. As an Electrical Engineer Intern, you will be at the forefront of designing, building, and testing the electronics and software that power our life-saving missions. You will work cross-functionally with various engineering teams and have the opportunity to contribute to impactful projects. This is a full-time, in-person internship in South San Francisco or Dallas from January to April/May 2027.

Participer à la conception, à la construction et aux tests de l'électronique et des logiciels des systèmes de vol et de sol.

About Zipline

You've designed and tested a custom circuit board (it doesn't need to have worked - we'd love to hear about it!)

Responsibilities

• Collaborer avec des équipes interfonctionnelles pour créer des produits évolutifs et performants qui soutiennent des missions vitales.
• Travailler sur des projets variés, tels que le prototypage de nouvelles versions de l'électronique de charge des batteries ou le développement d'équipements de test.

Requirements

• In your application, we'd love to see either a sample of work you're proud of or a short note about your prior experience and how it relates to the three points above
• Must have at least completed the second year of your Undergraduate studies. Masters and PhD students are also eligible
• You've worked on a project in or out of school that moved under its own power (plane, car, boat, quadcopter, rocket, balloon, rocket on a balloon, submarine, rover, etc. - we're not picky)
• You've collaborated on the above two things as part of a group - school club, competition team, as part of a job/internship, or just with friends

Preferred

• Experience in Robotics/Automation: Prior exposure to robotics systems, automation, or sensor data (through coursework, projects, or clubs) is a plus
• Software Development: Exposure to object-oriented programming (e.g., C++ or Java) is a bonus
• Cloud Computing/Big Data Tools: Familiarity with cloud services (AWS, GCP, Azure) or big data tools (Spark, Hadoop) is helpful but not required