Autonomy Droid Perception SWE - Offboard Systems

Zipline is operating the world’s largest autonomous logistics network—delivering critical medical and commercial goods globally with high reliability, precision, and scale.

Our operational scale makes this a Physical AI opportunity like no other.

We're hiring senior and staff perception engineers to join our Droid team, the group responsible for the autonomy that powers Zipline’s backyard delivery experience.

This team owns the full stack of onboard, offboard and cloud-side perception systems that inform, validate, and augment our onboard autonomy.

From generating rich 3D and semantic priors from aerial survey data to learning customer preferences and terrain features at scale, your work will define how we enable Zipline aircraft to scale mission-critical deliveries across complex, real-world environments.

This is not a purely research role—you’ll be expected to move fast, ship production-grade systems, and find clever ways to apply state-of-the-art techniques to tangible, high-impact problems.

Own the design and implementation of computer vision ML models that run in the cloud (or on our brand new on-prem GPU cluster!), helping us support and scale our on-device perception models.

Train and deploy large-scale models for semantic segmentation, feedforward 4D geometry, and learned preference modeling using aerial survey images, production deliveries and synthetic generated data.

Design and ship tools that predict deliverability, generate high-fidelity priors, and reduce the operational friction of onboarding new customers in new environments.

You’ll step in where our on-vehicle capabilities can’t solve the problems we need to solve in order to scale the product.

Design evaluation and validation infrastructure to ensure models behave reliably in the field.

On average, every 6 weeks, you will ship a new feature (or sometimes even a new model!) to production.