Autonomy Lead

Skyways; Austin (TX); On-site; USD 180,000 - 240,000; Full time

Benefits offered by this job

Stock options

Medical, dental & vision

Paid time off

Paid holidays

401k

Life insurance

Relocation assistance

Job summary

Skyways designs, builds, and operates autonomous long‑range cargo aircraft, transitioning from prototype to production. This leadership role owns the autonomy stack and mentors a cross‑functional team, shaping ML, perception, and planning to deliver reliable mission execution in real operations.

You will lead architecture tradeoffs, hands‑on development, and integration with GNC and aircraft systems, driving fleet‑scale deployment at Skyways in Austin.

Qualifications

• 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

Responsibilities

• 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

Skills

Autonomy systems

Team leadership

C++

Python

ROS2

ML / perception

Real-world deployment

Systems engineering

Tools

ROS2

Job description

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, 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 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.

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 operationsAbility 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.

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.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.