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 point B as fast as possible. The drone is only 15% of what we’ve built to enable seamless, reliable, global operations.
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 are seeking people who sculpt from first principles, enjoy facing adversity, and can do the impossible at record breaking speeds.
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.
The RoleLeading the way in drone delivery requires pushing the limits of individual component technologies and carefully orchestrating which ones we put together to optimize the performance of the complete vehicle. How much of the benefit of a larger motor is counteracted by its aerodynamic penalty? How much range are we willing to give up for extra payload capacity? How do we optimally control battery charging – electrically and thermally – to strike a balance between turnaround time and battery longevity?
Answering these types of questions requires high-caliber computational tools. Zipline is seeking an engineering intern that can understand system-level problem statements, appreciate the tradeoffs between accuracy and computational efficiency, and architect elegant code tools. The outputs of these tools will directly drive critical architectural and operational decisions at the aircraft and fleet level.
What You'll Do
- 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
- 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
Zipline is an equal opportunity employer and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws or our own sensibilities.
Zipline is also committed to providing reasonable accommodations to individuals with disabilities. Please let your point of contact at Zipline know if you require any accommodations throughout your interview process.
Skills Required
- Basic understanding of fundamental physics (energy and power, heat transfer, electrical circuits, dynamics, fluids and aerodynamics)
- Expertise in Matlab, Python, Julia, Rust, or similar for modeling, simulation, optimization, and data analysis
- Proficiency in numerical methods
- Ability to recognize tradeoffs in design of complex computational analysis frameworks
- Passion for tackling challenging multidisciplinary problems
- Drive to help people and make the world a better place
- Basic understanding of batteries, electric motors, and/or aircraft dynamics
- Experience interpreting experimental data
- Experience with model-based systems design
What We Do
Zipline is the world's largest autonomous delivery network and is powered entirely by fixed-wing drones. Our fleet circles the equivalent distance of the equator every 2.5 days, and we have shipped hundreds of thousands of critical medical products across Rwanda, Ghana, and now beginning in the United States.
Why Work With Us
Zipline is the perfect intersection of super cutting-edge tech, deep social mission, and extremely compelling business case. Our small, scrappy, customer-obsessed, humble, and mission-driven team has set the bar for what is possible in the drone logistics industry globally, and has designed some incredibly elegant technology in the process.
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