Computational Physics Intern (Spring 2027)

About Zipline

Zipline is the world’s largest and most experienced drone delivery service. We are on a mission to serve all humans equally by ensuring access to food, medicine and essential goods anytime, anywhere. We design, build, and operate the world’s largest autonomous logistics system, delivering critical supplies quickly and reliably. Today, Zipline operates on four continents, makes a delivery somewhere in the world every 30 seconds, and has completed millions of deliveries to date, including blood, vaccines, medical supplies, food, and retail products.

Our customers include the world’s largest and most prominent healthcare systems, governments, retailers, restaurants and global businesses who rely on us to save lives, reduce emissions, increase economic opportunity, and provide delivery from point A to B as fast as possible. Our system strengthens supply chains, reduces congestion, and gives people time back. With more than 140 million commercial autonomous miles safely flown, Zipline is redefining access to healthcare, consumer products, and food across the globe.

We operate at a global scale and are looking for practical problem solvers who thrive on real-world challenges and rapid growth. Our team is motivated by building systems that have a direct, meaningful impact on people’s lives and by scaling the future of logistics. We seek people who sculpt from first principles, enjoy facing adversity, and can do the impossible at record-breaking speeds.

About The Systems Modeling Team

The Systems Modeling Team has tremendous power to shape Zipline’s products. We develop physics-based models and use them to architect our aircraft, as well as the supporting logistics system. Using simulation, we can rapidly explore a vast array of designs to optimize future products, and we can find ways to squeeze more performance out of our existing products. Systems Modeling brings diverse teams and fields together (e.g. electrical, thermal, mechanical, aerodynamics, battery chemistry, controls, fleet operations, economics) to gain new insights. We translate technical conversations into rigorously framed engineering problems. We value asking pertinent questions and generating coherent answers.

Responsibilities

• Develop computational tools to automate high-level design trades, optimizations, and sensitivity studies
• Improve the performance and flexibility of simulation frameworks
• Build physics-based models that underlie aircraft performance simulations
• Analyze test data to validate vehicle component models

Requirements

• A drive to help people and make the world a better place
• A basic understanding of fundamental physics:
  • Energy and power
  • Heat transfer
  • Electrical circuits
  • Dynamics (kinematics, forces, moments, acceleration/rotation)
  • Fluids and aerodynamics
• Passion for tackling challenging multidisciplinary problems
• The ability to recognize tradeoffs in the design of complex computational analysis frameworks
• Expertise in Matlab, Python, Julia, Rust, or similar; for modeling, simulation, optimization, and/or data analysis
• Proficiency in numerical methods

Nice to have

• Basic understanding of batteries, electric motors, and/or aircraft dynamics; and typical approaches to modeling them
• Experience interpreting experimental data
• Experience with model-based systems design, ideally in an extracurricular setting