Job description

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 • Experience with distributed systems, networking, and fleet management • Relevant mechanical, aerospace, or electrical engineering experience Benefits At Matternet, we’re advancing a new era of logistics, one where autonomous drones deliver what matters faster, cleaner, and more efficiently. We know our mission is challenging, but it's worth it, and we are committed to taking care of the people who make it possible. • Compensation: The expected starting range for this role is $160,000–$205,000, based on San Francisco Bay Area market data. This range reflects the target starting pay for candidates who meet the minimum qualifications for the role. Final compensation will depend on factors such as your experience, skills, level, location, and potential impact. • Total Rewards: In addition to base pay, our compensation packages include equity and benefits such as medical, dental, vision, life, and disability coverage, flexible spending accounts (FSA), unlimited paid time off, company holidays, and a 401(k) plan.

Requirements

Must-haves

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
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

Nice-to-haves

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

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

pythonaidocker

Platform: workable
Effort: medium

Benefits

Benefits detected in the listing.

Dental

Vision

401(K)

Paid Time Off