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Skills mentionedC++PythonLinuxDocker
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 looking for an Autonomy Engineer to develop the onboard decision-making that lets our aircraft complete deliveries safely and reliably on autonomous Beyond-Visual-Line-of-Sight (BVLOS) missions, from open airspace to dense urban areas. Working across mission management, contingency handling, and path planning, you’ll own key aircraft behaviors end to end and shape how our fleet makes decisions in flight.
In this role, you will
Design and implement onboard autonomy behaviors, including mission sequencing, flight deconfliction, and contingency management
Develop path planning and trajectory generation that respect airspace, obstacles, and vehicle limits
Develop fault detection and safe contingency responses
Integrate autonomy with perception and the onboard flight software stack
Validate behaviors in simulation and flight test, analyze flight logs to refine them, and drive releases through to production fleets
Support field and flight-test triage of autonomy issues and drive fixes through to the fleet
Collaborate with Engineering, Operations, Flight Test, and Safety to define and refine aircraft behaviors
Requirements
BS or MS in Robotics, Aerospace Engineering, Computer Science, Electrical Engineering, or a related field
3+ years developing autonomy, planning, or decision-making software for robots, drones, or autonomous vehicles
Strong proficiency in C++ (C++11 and later) and Python, including multithreading and real-time messaging
Strong Linux background
Experience with state machines, behavior trees, or similar frameworks for decision-making
Solid foundation in path planning and applied math (geometry, coordinate transforms, kinematics) for navigation and avoidance
Experience validating software in simulation and on real hardware
Proficiency with version control and peer code review workflows (e.g., Git)
Clear technical communication and strong cross-disciplinary teamwork
Preferred Qualifications
Familiarity with an autopilot stack such as ArduPilot or PX4
UAV, aerospace, or other safety-critical, regulated product experience
Experience with collision avoidance and deconfliction with crewed and uncrewed air traffic
Experience with ROS/ROS2 and simulation environments such as Gazebo
Experience with distributed systems or networking
Experience with Docker and containerized build, test, and deployment
Experience using AI coding assistants to accelerate development
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.
