Senior Full Stack Engineer

The Opportunity

Skyways is hiring a Senior Full Stack Engineer to own the path data takes from the aircraft to the operator. You will write C++ in our ArduPilot fork, build the high throughput Python services and telemetry hub behind it, and ship features in SkyNav when the work calls for it. You will use modern AI tools and applied AI techniques to move faster and improve autonomous operations. This role is ideal for a broad, hands on engineer who wants to ship software that flies.

What You'll Do:

• Own and ship capabilities across SkyNav, backend services, telemetry infrastructure, and autonomous aircraft software.
• Build interactive 3D visualization and mission planning features in SkyNav using JavaScript or TypeScript and modern web graphics.
• Develop and operate Python services, APIs, data pipelines, and automation that support aircraft and fleet operations.
• Make safe, production quality changes to our ArduPilot C++ fork and integrate them with avionics, hardware, and higher level autonomy systems.
• Scale, load balance, and instrument our telemetry hub so real time fleet data remains reliable as aircraft volume grows.
• Apply AI and machine learning where they create real value, including engineering automation, data analysis, debugging, and operator tools.
• Partner closely with GNC, robotics, embedded software, flight operations, and hardware teams to validate changes in simulation and flight testing.
• Raise the engineering bar through thoughtful architecture, testing, code review, CI/CD, observability, and clear technical documentation.

What You'll Bring:

• 5+ years of professional software engineering experience, with a record of shipping production systems.
• Strong production proficiency in Python, JavaScript or TypeScript, and C++.
• Demonstrated ability to work across the stack, from user interfaces and 3D experiences to backend services and systems software.
• Experience designing APIs or distributed services with attention to performance, reliability, load balancing, and observability.
• Experience in aviation, robotics, autonomous systems, or another environment where software interacts with real world hardware.
• Strong applied AI fluency, including using modern AI development tools effectively and building AI enabled product or operational capabilities.
• Ability to debug complex issues across application, network, operating system, and hardware boundaries.
• A proactive, low ego approach, strong communication, and comfort owning ambiguous problems from concept through deployment.

Bonus Points:

• Experience with ArduPilot, PX4, or another autopilot stack.
• Experience with Electron, CesiumJS, Three.js, Babylon.js, WebGL, or similar 3D technologies.
• Experience with real time telemetry, event streaming, fleet systems, or high availability infrastructure.
• Experience with embedded Linux, avionics, sensors, or direct hardware communication.
• Background in GNC, computer vision, autonomy, or flight testing.
• Knowledge of FAA operations, UAS regulations, defense programs, or export controlled development environments.
• Experience at an early stage company where engineers move quickly across disciplines.