Senior Embedded Platform Engineer

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.

As an Embedded Platform Engineer you will be responsible for delivering a computer system that enables a highly maneuverable aircraft to dodge power lines that are not on any map, avoid buildings that aren’t shown on satellite photos, stay clear of other aircraft and safely find the right open area to drop life saving supplies. This will entail conceiving and implementing methods for transporting, processing and storing high-bandwidth data across multiple processors in real-time. You will study the entire architecture, create tools and influence existing services implementation to deliver a platform that can be used reliably by all the teams and provide logging and observability necessary for  a flawless operation over thousands of flight hours.

• Work closely with hardware, embedded and autonomy software teams to make the right design decisions to ensure the highest-quality embedded platform behavior, with outstanding reliability and a focus on efficiency in time, cost, and effort
• Hold a relentlessly high bar for quality across a team that tackles a wide domain of software from acoustic signal processing to image capture
• Set examples of best practices and processes so that algorithm developers have the tools they need to understand and optimize their designs, making sure they’re getting the most value out of the hardware onboard

• You’ve deployed real-time safety-critical systems where runtime and post-mortem analysis were equally supported
• You bear the battle scars of fighting for deterministic behavior in your software... but think the battles are worth fighting anyway
• You have internalized best practices from working on a codebase with many collaborators, from continuous integration to code review
• You love digging into all levels of your technology stack, whether it’s the build system, the network stack, or the application layer itself
• You know your way around aligning data between sensors--and why, even with the best of planning, it doesn’t always work as expected
• Proficient in C or C++ and Python
• Familiar with running the Linux kernel on resource-constrained systems and with real-time requirements
• Understands what makes code run fast or slow, and how to use multi-core or GPU hardware to make things run fast every time
• Familiarity with the best way to get data in and out of a computer--and keep track of where it went
• Bonus points for experience developing device drivers for microprocessor peripherals or familiarity with Rust