Software Engineer - Embedded Firmware

Confirmed live in the last 24 hours

Zipline

Compensation

$125,000 - $210,000/year

South San Francisco, California, USA

Hybrid

Posted March 26, 2026

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

As an embedded firmware engineer at Zipline, you will be responsible for building the lowest level and most safety-critical software on our aircraft. You will work closely with a range of other disciplines, including electrical, mechanical, embedded Linux, and systems engineers, to ensure each aircraft seamlessly transitions from our manufacturing lines to being a participant in the largest drone delivery network in the world.

We use C++ in our firmware development, with Rust and Python for tooling that will be deployed to our production systems in the field. Our aircraft are deployed to locations around the world, many not easily accessible, even over a network. You will help build re-usable firmware infrastructure that will level up our systems’ observability and reliability, without requiring an equal scaling of our engineering team.

What You'll Do

Design and build the software necessary to run critical flight and safety processes on a network of microcontrollers, in cooperation with embedded Linux edge computers
Understand and improve the reliability of the flight software system as a whole, working with hardware and systems engineers to develop comprehensive fault management strategies and hardware-in-the-loop tests
Analyze the runtime characteristics of our avionics software in flight to build confidence in its performance, focusing on re-usable, maintainable software and optimizing where required
Develop metrics, monitoring and troubleshooting capabilities to prepare the system for field deployment at scale
Design and build data collection and testing tools to support early stage evaluation of new sensors, communications systems, and microcontroller platforms

What You'll Bring

Strong software engineering skills, with proficiency in at least one strongly typed language. We use C++, Rust, and Python.
Curiosity and a willingness to learn and work in a variety of embedded environments, from running on bare metal, to using and RTOS and integrating with embedded Linux
Experience building and maintaining real-world deployed embedded systems, and handling the long tail of edge cases to ensure consistent safety, reliability and high performance
A systems mindset and intuition for debugging; when anything could be wrong, you know how to narrow down the possibilities.
Fluency in implementing peripheral drivers based on electrical schematics and datasheets, and debugging at this boundary in order to support prototype hardware evaluation
Our team uses a hybrid in-office and distributed work environment, centered around our headq