Job description

Skyways designs, builds, and operates fully autonomous long range cargo aircraft. Founded in 2017, the company has spent nearly a decade developing and deploying autonomous logistics systems for real world operations. Our V2 aircraft carries 30 lbs up to 500 miles, and V3 has a maximum range of well over 1,000 miles, a maximum useful load of 100 lbs, and a maximum endurance of nearly 20 hours. 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 fly revenue missions for commercial customers across three continents. We are scaling full rate production and building toward large fleets of autonomous cargo aircraft. 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. 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. In addition to base salary, offers include stock options, so you own part of what you build. Benefits include medical, dental, and vision coverage, paid time off, paid holidays, a 401k, and life insurance. Relocation assistance is available for candidates moving to Austin. Want to join our mission? Apply to learn more! Due to U.S. government contract requirements, this role is limited to U.S. citizens, U.S. permanent residents, or candidates from specific countries authorized under applicable export control regulations. Skyways is an Equal Opportunity employer committed to diversity in the workplace. All qualified applicants will receive consideration for employment without regard to race, color, religion, age, national origin, sex, sexual orientation, gender identity, disability, protected veteran status or any other factor protected by applicable local, state or federal laws.

Requirements

Must-haves

Skyways designs, builds, and operates fully autonomous long range cargo aircraft. Founded in 2017, the company has spent nearly a decade developing and deploying autonomous logistics systems for real world operations.
Today, Skyways aircraft fly revenue missions for commercial customers across three continents. We are scaling full rate production and building toward large fleets of autonomous cargo aircraft.
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.
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.
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.

Nice-to-haves

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.
Relocation assistance is available for candidates moving to Austin.
Want to join our mission? Apply to learn more!
Due to U.S. government contract requirements, this role is limited to U.S. citizens, U.S. permanent residents, or candidates from specific countries authorized under applicable export control regulations.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

pythonaijavascripttypescriptmachine learningci/cd

Platform: lever
Effort: quick

Benefits

Benefits detected in the listing.

Dental

Vision

401k

Paid Time Off