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Salary: USD 160,000 - 205,000 / annual
Matternet is building autonomous drone networks for delivery of critical goods across healthcare, logistics, food, and retail. We're seeking an Onboard Software Engineer to develop the embedded software that powers our aircraft and ground assets.
You will develop and own onboard features and subsystems that enhance UAS capabilities and safety mitigations. Your work will focus on building systems that enable autonomous Beyond-Visual-Line-of-Sight (BVLOS) flight in demanding environments, including dense urban airspaces. You'll deliver customer-facing features on flight and ground assets while balancing performance, safety, and reliability. Your responsibilities include verifying and releasing software from simulation and flight test through to production fleet deployment, triaging and solving field and flight-test issues, and driving fixes to the fleet. You'll collaborate across Engineering, Operations, Safety, and Production teams.
The role is primarily C++ on embedded Linux, requiring you to build and harden safety-critical subsystems. You'll own features end to end, drive them through simulation and flight test, and work alongside senior engineers to validate and support them in the field.
**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
- Experience with distributed systems, networking, and fleet management
- Relevant mechanical, aerospace, or electrical engineering experience
