Autonomy Lead

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

This role owns how autonomy works in real-world flight, and it owns the small team that builds it.

You will define how perception, state estimation, planning, and flight behaviors come together into a system that actually completes missions reliably. This is not about building isolated components. It is about making the full stack work under real constraints, and about leading a team of autonomy engineers to do the same.

You will shape how our ML systems improve with real-world data and ensure they perform outside of ideal conditions. You will lead technical direction for autonomy while remaining deeply hands-on in architecture, implementation, testing, and flight debugging. Your work directly impacts mission success, aircraft reliability, and operational deployment at fleet scale.

We are looking for someone who has already built and deployed autonomy systems on real-world robotic or UAV platforms, and who wants to grow a team while staying close to the code.

What You'll Do

• Own the end-to-end autonomy stack across perception, estimation, planning, and system behavior
• Lead, manage, and grow a team of autonomy engineers, including hiring, onboarding, performance, and development
• Be accountable for your team's output, technical standards, morale, and retention
• Define system architecture and make tradeoffs across reliability, performance, and operational complexity
• Set technical direction for autonomy while remaining hands-on in critical technical areas
• Drive integration across autonomy, GNC, mission planning, and aircraft systems
• Own how autonomy is validated across simulation, ground testing, and flight operations
• Use flight data, telemetry, and operational feedback to identify failures and improve system performance
• Drive how datasets, evaluation pipelines, and iteration loops improve deployed autonomy systems
• Debug real-world autonomy failures and close gaps between controlled testing and operational deployment
• Work closely with flight operations and hardware teams to improve reliability in real environments

What You'll Bring

• Experience building and deploying autonomy systems on real robotic or UAV platforms
• Experience leading and developing engineers, including direct people management or a clear track toward it
• Strong system-level understanding across perception, estimation, and planning, with depth in at least one area
• Experience taking autonomy systems from development through operational deployment and iteration
• Strong proficiency in C++ and Python
• Experience debugging real-world autonomy failures using logs, telemetry, and system-level analysis
• Experience working across software, hardware, and flight or field operations
• Ability to make practical engineering tradeoffs under real operational constraints
• Experience improving ML or perception systems using real-world operational data

Bonus Points If You Have

• Experience with autonomous aircraft or aerial systems
• Background in robotics, computer vision, or motion planning
• Experience with real-time or embedded systems
• Familiarity with ROS2 or similar robotics frameworks
• Experience deploying autonomy or ML systems to resource-constrained environments

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.