MAVLink & Autopilot Engineer
Role details
Job location
Tech stack
Job description
- Real-time AI ISR module deployable on drones and tactical platforms
- Counter-UAS solution enabling autonomous drone takeover in GNSS-denied environments
- Full-stack MLOps platform for training & deploying military-grade AI models
- Data fusion and trajectory prediction
Role & Mission
As MAVLink & Autopilot Engineer, you will be at the core of Alta Ares' UAS development - designing, integrating, and hardening the autopilot and communication stack that underpins our ISR and C-UAS platforms across both fixed-wing and multi-rotor systems.
You will own the full MAVLink integration layer: from ground control station communication and mission scripting to onboard autopilot customisation and real-time telemetry pipelines. You will work hands-on with ArduPlane and ArduCopter on operational platforms, in environments where reliability, latency, and resilience are non-negotiable., * Design, implement, and maintain MAVLink-based communication pipelines between onboard systems, GCS, and ground infrastructure
- Develop custom MAVLink messages, dialects, and extensions tailored to Alta Ares' operational requirements
- Build and maintain MAVLink parsers, routers, and middleware layers in C++ and Python
- Integrate MAVLink with onboard AI inference engines, sensor fusion modules, and mission management systems
- Ensure communication robustness in degraded RF environments, high-latency links, and GNSS-denied conditions
- Contribute to the development and maintenance of Alta Ares' GCS interface and telemetry dashboards, * Own the integration and customisation of ArduPlane and ArduCopter firmware for Alta Ares' fixed-wing and multi-rotor platforms
- Develop and tune custom flight modes, mission logic, and failsafe behaviours adapted to defence operational requirements
- Implement and validate custom navigation, loiter, and search patterns for ISR missions
- Integrate external sensors and payloads into the ArduPilot ecosystem: optical systems, RF sensors, AI inference boards
- Maintain a clean, well-documented fork of ArduPilot with Alta Ares-specific modifications and upstream contribution where appropriate
- Conduct hardware-in-the-loop (HIL) and software-in-the-loop (SIL) testing prior to live flight validation, * Collaborate with GNC engineers to integrate guidance, navigation, and control algorithms into the ArduPilot stack
- Implement and validate autonomous behaviours: waypoint following, target tracking, dynamic re-tasking, and terminal phase logic
- Develop companion computer interfaces (Raspberry Pi, Jetson, or equivalent) communicating with the autopilot via MAVLink
- Support the integration of AI-driven decision layers with the autopilot for semi-autonomous and autonomous mission execution
- Ensure deterministic, predictable behaviour under edge cases and failure modes
- Field Testing & Operational Validation
- Lead or actively participate in ground testing, bench testing, and live flight test campaigns
- Define test plans, acceptance criteria, and regression test suites for autopilot and MAVLink stack
- Debug in-flight anomalies from log analysis (DataFlash, telemetry logs) and implement fixes rapidly
- Support operational deployments and live demonstrations - including in austere field environments
- Translate field feedback from operators and military users into concrete engineering improvements
- Documentation & Engineering Standards
- Maintain comprehensive technical documentation: architecture diagrams, interface specifications, test reports, and integration guides
- Define and enforce coding standards, review processes, and versioning practices for the autopilot and MAVLink codebase
- Support junior engineers and share expertise across the embedded and software teams
Requirements
- 5-8 years of experience in embedded systems, UAS development, or robotics - with a strong focus on autopilot systems and MAVLink
- Demonstrated hands-on experience with ArduPlane and/or ArduCopter on real airframes - not just simulation
- Deep expertise in MAVLink protocol: message design, dialect customisation, routing, and integration
- Proven track record integrating companion computers with flight controllers in operational or near-operational UAS
- Experience with both fixed-wing and multi-rotor platforms is required
- Prior work in defence, dual-use, or operational UAS environments is a strong plus