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Zipline is seeking a Staff Platform Software Engineer in South San Francisco to build scalable, secure interfaces that connect AI-enabled applications with Zipline’s production systems. You’ll collaborate with Forward Deployed AI Engineers, application teams, and infrastructure partners to define platforms, standards, and guardrails while shipping quickly and safely.
The role focuses on designing developer-facing APIs, service integrations, and platform governance to support Zipline’s autonomous
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.
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.
Zipline operates autonomous delivery services that bring essential goods to customers and communities in the real world. As AI enables more teams to turn ideas into working software, we are hiring a Staff Platform Software Engineer to ensure that this new velocity strengthens— not jeopardizes— the systems that support our operations, deliveries, and customers. You will build the scalable, secure interfaces that let AI-enabled applications and internal tools safely connect to Zipline’s production systems, including operationally critical services. Working closely with Forward Deployed AI Engineers, application teams, and infrastructure partners, you will define the platforms, standards, and guardrails that let teams ship quickly while protecting service reliability and the systems behind Zipline’s autonomy mission. This is a hands-on role for an experienced application engineer who enjoys turning ambiguous, cross-functional problems into well-designed systems that other teams can confidently build upon.
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.