Staff Software Engineer

Skyways designs, builds, and operates fully autonomous long-range cargo aircraft. Founded in 2017, the company has spent the last eight years developing and deploying autonomous logistics systems for real-world operations.

Our V2 aircraft carries 30 lbs up to 500 miles, while our next-generation V3 carries 100 lbs over 1,000+ miles with 20+ hours of endurance. Both use a hybrid-electric architecture that takes off like a helicopter and cruises like a plane, enabling long-range autonomous delivery without traditional runway infrastructure.

Today, Skyways aircraft operate across three continents in controlled national airspace under FAA oversight and in support of U.S. military operations. We are transitioning from prototype development to full-rate production and scaling toward large autonomous cargo fleets.

Backed by Y Combinator and a $37M AFWERX STRATFI award from the U.S. Air Force, Skyways is creating a new form of transportation to advance our civilization from Austin, Texas.

 

Skyways is hiring a Staff Software Engineer to set technical direction for software that flies. You will work across the same stack as the rest of the team, from 3D interfaces in SkyNav, to high throughput Python services, to C++ running in our ArduPilot fork, but at Staff scope: you own the architecture, define the standards, and drive outcomes that span multiple teams. You will identify what needs doing without being told and make every engineer around you more effective. This role is ideal for a deep, hands on engineer who wants their design decisions flying on real aircraft.

Own the architecture and evolution of critical areas of the Skyways software stack, spanning SkyNav, backend services, telemetry infrastructure, and autonomous aircraft software.

Set technical standards for the software team and raise the quality bar through design, code review, and decision making.

Lead the highest risk, highest leverage work: architecture of our ArduPilot C++ fork, safety relevant vehicle software changes, and integration with avionics, hardware, and higher level autonomy systems.

Design SkyNav's 3D visualization and mission planning architecture using JavaScript or TypeScript and modern web graphics, so other engineers can build quickly on solid foundations.

Architect and scale our telemetry hub so real time fleet data remains reliable as aircraft volume grows, making the build versus buy and infrastructure calls that come with it.

Apply AI and machine learning where they create real value, and shape how the software team uses modern AI tools across engineering automation, data analysis, debugging, and operator tools.

Drive cross functional alignment across GNC, robotics, embedded software, flight operations, hardware, and leadership, turning ambiguous company priorities into concrete technical plans validated in simulation and flight testing.

Multiply the team: mentor senior engineers, write the design documents that settle debates, and shape how software gets built at Skyways through architecture, testing, CI/CD, observability, and clear technical documentation.

8+ years of professional software engineering experience, including ownership of production systems that span multiple teams.

Deep production proficiency in Python, JavaScript or TypeScript, and C++.

A track record of architecting and shipping across the stack, from user interfaces and 3D experiences to backend services and systems software.

Experience designing distributed systems and APIs for performance, reliability, load balancing, and observability at scale.

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.

Evidence of force multiplication: standards you set, designs you drove, and engineers who got better because you were there.

The judgment to define your own direction within company strategy, the ability to debug complex issues across application, network, operating system, and hardware boundaries, and a proactive, low ego approach to owning ambiguous problems from concept through deployment.

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.