We are seeking a Robotics & Autonomy Engineer to develop, integrate, and maintain autonomy capabilities on UAV platforms built around the PX4 and ArduPilot stacks. This is a full-time role on our engineering team, working across a range of client projects — so the day-to-day emphasizes hands-on integration, debugging, and real-world flight validation more than ground-up design ownership. You'll work across the full UAV stack, from embedded flight software and state estimation through mission logic and system integration, with a strong focus on reliability and practical field performance.
This position suits someone who enjoys both software development and hands-on hardware work, and who's comfortable owning problems across shifting project contexts. The ideal candidate brings solid robotics and autonomy fundamentals — estimation, controls, and coordinate frames — and is eager to grow deep expertise in the PX4 autopilot stack, including VIO, map matching, and GPS-denied navigation.
MUST HAVE PERMANENT RESIDENCE IN US
Responsibilities
- Develop and modify PX4 or ArduPilot firmware to support new autonomy features and system capabilities
- Implement mission logic, flight behaviors, and MAVLink integrations
- Integrate sensors, cameras, radios, and payloads into UAV platforms
- Tune and analyze estimation and control performance (EKF/Kalman filtering, PID loops) across platforms
- Conduct flight testing and validate autonomous behaviors in real-world conditions
- Analyze flight logs and telemetry to diagnose and resolve issues
- Debug problems across the UAV stack including firmware, networking, hardware, and companion computers
- Collaborate with engineers to design robust UAV architectures and workflows
- Document system behavior, debugging results, and design decisions
Required Qualifications
- Strong robotics/autonomy fundamentals: coordinate frame transformations, state estimation (Kalman filtering / sensor fusion), and PID control analysis
- Strong C++ or C programming skills
- Experience with PX4 or ArduPilot — or demonstrated ability to ramp quickly on a complex embedded autopilot codebase
- Experience flying and testing UAV or robotic platforms
- Familiarity with MAVLink, flight logs, and autopilot configuration
- Experience debugging complex software and hardware interactions
- Ability to work independently and take ownership of engineering tasks across multiple projects
- Strong problem-solving skills and practical engineering judgment
Preferred Qualifications
- Experience with ROS/ROS 2 and Nav2
- Experience with visual-inertial odometry (VIO), map matching, or GPS-denied navigation
- Experience building or configuring drones from components
- Familiarity with companion computers (Linux), MAVSDK, or ROS
- Experience integrating sensors such as LiDAR, cameras, or GPS systems
- Experience with embedded systems or hardware debugging
- Experience analyzing flight logs and tuning flight controllers
- Personal robotics, UAV, or embedded systems projects
What We Value
- Engineers who build and experiment outside of work
- Strong ownership and accountability for outcomes
- Practical, hands-on problem solving
- Clear communication and collaboration within small teams
- Curiosity and continuous learning