Controls Engineer Intern (Fall 2026) at Zipline

South San Francisco, California, United States -

Full Time

Start Date

Immediate

Expiry Date

11 Sep, 26

Salary

0.0

Posted On

13 Jun, 26

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Flight Algorithms, Dynamic Modeling, Linear Control Analysis, Optimal Control, C, C++, Rust, MATLAB, Python, Julia, Github, Embedded Software, Technical Computing, Inertial Navigation, Simulation, Flight Data Analysis

Industry

Logistics;Transportation;Supply Chain and Storage

Description

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 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. About the Flight Controls Team Our Flight Controls team is at the heart of Zipline’s product success - we are responsible for developing, testing and maintaining some of the critical flight software systems that enable our aircraft to complete missions autonomously, from takeoff through to predicting and executing a successful delivery, through to landing safely and accurately. We develop novel solutions to give us the responsiveness, robustness and quality we need to ensure our delivery platforms can function in a wide range of increasingly challenging conditions and truly serve everyone in the world equally. The Role Zipline’s people thrive on finding elegant solutions to complex problems, given what exists today and what we can develop to maturity quickly and confidently. We stay close to our customers, learn what really works, and find where we can put the leverage to make a big difference for them now. As an intern on the Flight Controls team, you will learn how we fly autonomous aircraft in a range of challenging flight conditions. Using data from flight testing and simulation as well as our global fleet of customer aircraft, you will be looking for insights that can help improve our design. Through this you’ll have the opportunity to make changes to our systems that will measurably improve our product - your work will not just be theoretical; you will have the opportunity to see your contributions fly! What You'll Do Contribute to the design, implementation, testing and release of innovative flight algorithms that improve the operational performance of our vehicle controllers Create tools and tests to demonstrate your design performance and protect against software regressions, using both theoretical guarantees and simulations Analyze flight data to assess recent changes and upgrades, looking for regressions and potential areas for future improvement Design onboard integrity tests to communicate when the system performance is degraded Present key results and changes to the broader engineering team What You'll Bring Your applied math skills stand out even among aerospace engineers. You think simulations and working with hardware are both fun. You have owned and developed controls solutions for a team project, thesis, or competition Exposure in one or more of the following areas: precision integrated inertial navigation, dynamic modeling of complex systems, linear control analysis, or optimal control with uncertainty. Software engineering skills, preferably with both embedded software (C, C++, Rust) and technical computing (MATLAB, python, Julia, etc.). Experience with Github and working in a multi-developer environment is an advantage. What Else You Should Know Our internships are full-time positions, in-person at our South San Francisco or Dallas office. We will host our Fall 2026 interns from September to December Candidates are limited to three (3) applications within a 30-day period. 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. We value diversity at Zipline and welcome applications from those who are traditionally underrepresented in tech. If you like the sound of this position but are not sure if you are the perfect fit, please apply! 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.

Responsibilities

Contribute to the design, implementation, and testing of innovative flight algorithms to improve vehicle controller performance. Analyze flight data and create simulation tools to validate designs and prevent software regressions.