South San Francisco, California, United States · On-site
$200k–$280k/yr
Senior+$2.1B raised
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 des…
Skills: 3D Perception, Deep Learning, Computer Vision, TensorRT, CNN
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$200k–$280k/yr
Full-time
Equity Compensation, Overtime Pay, Discretionary Annual Or Performance Bonuses, Sales Incentives, Medical Insurance, Dental Insurance
Posted 19d ago
~40 hrs/week
Responsibilities
Develop and deploy real-time 3D perception ML models to transform camera inputs into scene geometry and semantics for autonomous drone delivery. Optimize onboard TensorRT engines and build data flywheels to improve model performance in complex, safety-critical environments.
Requirements
Requires 5-8+ years of experience in deep learning-based perception systems with strong expertise in classical computer vision and robotics fundamentals. Candidates must have hands-on experience optimizing CNN and transformer architectures for resource-constrained hardware like NVIDIA Jetson.
Full 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 ML systems behind our autonomy stack must be robust, adaptable, and deeply integrated with the hardware.
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. You’ll build realtime 3D perception ML models that transform multiple camera inputs into scene geometry and semantics that help our mission planner with delivery and package pickup. You’ll develop across the entire perception stack, from optimizing the onboard TensorRT engines to building a data flywheel that finds interesting samples from our long-tail of customer deliveries. You will work closely with the planner team to make sure we build the right system, rather than just the best perception model.
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
Implement, train and evaluate real-time 3D perception models that work with two or more cameras across one or more timesteps
Deploy and run these models onboard a resource-constrained computer, finding ways to optimize and reduce compute and memory footprints
Build visualization, introspection and eval tooling to deeply understand model performance both on test datasets as well as “in the wild”
Work closely with the motion planning team, building an expressive yet compact interface between the two subsystems and tracking the right metrics to ensure we’re always hill-climbing towards a better overall system
Zipline moves fast. On average, every 6 weeks, you will ship a new feature (or sometimes even a new model!) to production.
At the Senior level, you'll lead architectural decisions, drive experimentation, and own outcomes for a particular model head or backbone. At the Staff level, you will own roadmapping the future of one or more onboard models and manage cross-functional interfaces in addition to the above.
Stay up to date with research in the field, drive experimentation, go to conferences and help keep Zipline’s ML modeling stack in lockstep with powerful new paradigms in real-time compute-constrained 3D perception
What You'll Bring
At least 5+ years of experience (Senior) or 8+ years of experience (Staff) building and deploying deep learning-based perception systems, particularly in 3D geometry, semantic segmentation, or learned multi-view stereo
Strong understanding of classical computer vision (e.g. camera calibration, epipolar geometry, structure-from-motion, SGBM stereo) and the ability to blend it with modern ML approaches.
Expertise and depth with robotics fundamentals: you should be able to reason about reference frames, matrix math, SE(3) manifolds and probabilistic sensor fusion
Hands-on experience training, iterating on, and optimizing CNN and transformer architectures on target hardware: think NVIDIA Jetson sized compute
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.
At the Senior level, you bring experience with the full ML lifecycle (training, data annotation, evaluation, hard mining)—not just models. At the Staff level, experience influencing design across systems: data pipelines, training infrastructure, compute requirements.
ML experience on hardware applications is a strong plus - a robot will move based on the outputs of your perception system
What Else You Need To Know
The starting cash range for this role is $200,000 - $240,000 for Senior and $240,000 - $280,000 for Staff . 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, 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!
Voluntary Self-Identification
For government reporting purposes, we ask candidates to respond to the below self-identification survey. Completion of the form is entirely voluntary. Whatever your decision, it will not be considered in the hiring process or thereafter. Any information that you do provide will be recorded and maintained in a confidential file.
As set forth in Zipline ’s Equal Employment Opportunity policy, we do not discriminate on the basis of any protected group status under any applicable law.
Transportation, Logistics, Supply Chain and Storage
Company size
1,001-5,000 employees
Headquarters
South San Francisco, California
LinkedIn followers
153,228
Total funding
$2.1B
Zipline was founded to create the first logistics system that serves all humans equally. Our aim is to solve the world’s most urgent and complex access challenges. Leveraging expertise in robotics and autonomy, Zipline designs, manufactures and operates the world’s largest automated delivery system. Zipline serves tens of millions of people around the world and is making good on the promise of building an equitable and more resilient global supply chain.
From powering Rwanda’s national blood delivery network and Ghana’s COVID-19 vaccine distribution, to providing on-demand home delivery for Walmart and enabling leading healthcare providers to bring care into the home in the United States, Zipline is transforming the way goods move. By transitioning to clean, electric, instant logistics, we can decarbonize delivery, decrease road congestion, and reduce fossil fuel consumption and air pollution, while providing equitable access for billions of people. The technology is complex but the idea is simple: a teleportation service that delivers what you need, when you need it. Zipline is inspiring people, governments, and businesses to imagine what is possible when goods can move as seamlessly as information.
To join the team, check out our career page: https://flyzipline.com/careers/
Offices: 333 Corey Way, South San Francisco, California 94080, US
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