Onboard Software Engineer

Matternet is building the future of delivery with autonomous drone networks that move critical goods faster, cleaner, and at lower cost. We work with partners across healthcare, logistics, food, and retail to deliver everything from medical items to everyday essentials, safely and reliably.

We’re seeking an Onboard Software Engineer to develop the software that runs on our aircraft and ground assets. Working primarily in C++ on embedded Linux, you’ll build and harden the safety-critical subsystems that allow our drones to fly autonomous Beyond-Visual-Line-of-Sight (BVLOS) missions across varied environments, from open airspace to dense urban areas. You’ll own features and subsystems end to end, drive them through simulation and flight test, and work alongside senior engineers and teams across the company to validate and support them in the field.

In this role, you will:

• Develop and own onboard features and subsystems that enhance our UAS capabilities and safety mitigations
• Build the systems that allow aircraft to fly autonomously in demanding environments, including dense urban airspaces
• Deliver customer-facing features on flight and ground assets, while balancing performance, safety, and reliability
• Verify and release software, from simulation and flight test to deployment across production fleets
• Triage and solve field and flight-test issues, and drive fixes through to the fleet
• Collaborate with stakeholders within Engineering, Operations, Safety, and Production

Requirements

• 3+ years of production software engineering, including owning features or subsystems end to end
• Strong proficiency in C++ (C++11 and later), multithreading, and real-time messaging
• Solid Linux background and experience with cross-compiling
• Experience with Python, YAML, and other scripting tools
• Solid applied math skills (geometry, coordinate transforms, kinematics) for navigation and avoidance
• Experience implementing native software and validating it in simulation and on hardware
• Proficiency with version control and peer code review workflows (e.g., Git)
• Clear technical communication and strong cross-disciplinary teamwork in a fast-paced environment

Preferred Qualifications:

• UAV, autonomous robotics, aerospace, or other safety-critical regulated experience
• Experience using AI coding assistants to accelerate development
• Familiarity with an autopilot stack such as ArduPilot or PX4
• Experience with computer vision and perception (OpenCV or similar) and sensor integration
• Experience with Docker and containerized build, test, and development environments