3D Perception Engineer - Autonomy (Droid)
Company: Zipline
Location: South San Francisco
Posted on: April 1, 2026
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Job 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 You and The Role Zipline is operating the world’s largest
autonomous logistics network—delivering critical medical and
commercial goods globally with high reliability, precision, and
scale. As we expand into increasingly complex, safety-critical
environments, the systems behind our autonomy stack must be robust,
adaptable, and deeply integrated—especially at the intersection of
perception and deployment. 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 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 prepare Zipline aircraft to perform
mission-critical deliveries in complex, real-world environments.
This is not a 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. What
You’ll Do Own the design and implementation of cloud-side autonomy
pipelines that directly support and scale our onboard perception
stack. Leverage satellite imagery, aerial surveys, and structured
data to build semantic and geometric world models of customer
delivery zones. 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. Train and deploy mid- to
large-scale models for semantic segmentation, 3D geometry, and
learned preference modeling. Design evaluation and validation
infrastructure to ensure models behave reliably in the field. Work
across engineering to integrate your work into fleet-facing
autonomy systems. Lead architectural decisions, drive
experimentation, and help the team push the limits of what’s
possible with production-grade perception at scale. What You'll
Bring At least 5 years of experience building and deploying deep
learning-based perception systems, particularly in 3D geometry,
semantic understanding , or mapping from remote sensing data .
Strong understanding of classical computer vision (e.g. camera
calibration, epipolar geometry, structure-from-motion) and the
ability to blend it with modern ML approaches. Hands-on experience
training, iterating on, and optimizing CNN and transformer
architectures in production environments. An engineering mindset
focused on outcomes over experimentation —you know how to
prioritize what's good enough to ship now and what needs to be
architected for scale later. Familiarity with building training,
data annotation, and evaluation pipelines—not just models. Comfort
working across systems: jumping into data pipelines, training
infrastructure, or debugging distributed training issues as needed.
Experience deploying models in real-world, high-stakes robotics or
autonomy applications is a strong plus. Why This Team? You’ll own
real-world autonomy problems that matter—delivering essential goods
around the world, in thousands of diverse backyards and
environments. You’ll have autonomy and trust to define the roadmap
and drive architectural decisions that shape Zipline’s global
operations. You’ll work on cutting-edge problems with people who
care deeply about quality, systems thinking, and solving hard
problems with elegance and clarity. A Few More Things Zipline is an
equal opportunity employer and encourages candidates from
historically underrepresented backgrounds to apply—even if you're
not sure you're a perfect fit. If you care about shipping
high-impact autonomy systems in production, we want to hear from
you. What Else You Need to Know The starting cash range for this
role is $180,000 - $265,000. Please note that this is a target,
starting cash range for a candidate who meets the minimum
qualifications for this role. The final cash pay for this role will
depend on a variety of factors, including a specific candidate's
experience, qualifications, skills, working location, and projected
impact. The total compensation package for this role may also
include: equity compensation; overtime pay; discretionary annual or
performance bonuses; sales incentives; benefits such as medical,
dental and vision insurance; paid time off; and more. Zipline is an
equal opportunity employer and prohibits discrimination and
harassment of any type without regard to race, color, ancestry,
national origin, religion or religious creed, mental or physical
disability, medical condition, genetic information, sex (including
pregnancy, childbirth, and related medical conditions), sexual
orientation, gender identity, gender expression, age, marital
status, military or veteran status, citizenship, or other
characteristics protected by state, federal or local law or our
other policies. 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!
Keywords: Zipline, Roseville , 3D Perception Engineer - Autonomy (Droid), Engineering , South San Francisco, California