Perception Engineer - Cloud Autonomy

About Zipline

Do you want to change the world Zipline is on a mission to transform the way goods move. Our aim is to solve the worlds most urgent and complex access challenges by building manufacturing and operating the first instant delivery and logistics system that serves all humans equally wherever they are. From powering Rwandas national blood delivery network and Ghanas COVID-19 vaccine distribution to providing on-demand home delivery for Walmart to enabling healthcare providers to bring care directly to U.S. homes we are transforming the way things move for businesses governments and consumers.

The technology is complex but the idea is simple: a teleportation service that delivers what you need when you need it. Through our technology that includes robotics and autonomy we are decarbonizing delivery decreasing road congestion and reducing fossil fuel consumption and air pollution while providing equitable access to billions of people and building a more resilient global supply chain.

Join Zipline and help us to make good on our promise to build an equitable and more resilient global supply chain for billions of people.

About You and The Role

Zipline is operating the worlds largest autonomous logistics networkdelivering 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 integratedespecially at the intersection of perception and deployment.

Were hiring a senior perception engineer to join our Droid team the group responsible for the autonomy that powers Ziplines 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 roleyoull 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 Youll 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.
  
  
• 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 whats possible with production-grade perception at scale.
  
  

What Youll 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 experimentationyou know how to prioritize whats good enough to ship now and what needs to be architected for scale later.
  
  
• Familiarity with building training data annotation and evaluation pipelinesnot 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

• Youll own real-world autonomy problems that matterdelivering essential goods around the world in thousands of diverse backyards and environments.
  
  
• Youll have autonomy and trust to define the roadmap and drive architectural decisions that shape Ziplines global operations.
  
  
• Youll 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 applyeven if youre not sure youre 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 $180000 - $240000. 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 candidates 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!