S
Skyways
Senior Computer Vision Engineer
Skills
Python
2 months ago
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Important information
Contract type:
Permanent
Location:
Austin, TX, USA
Work mode:
Onsite
Published on:
29 August 2026
What they need
- This role owns some of the hardest perception problems in autonomous flight
- You will develop computer vision systems for autonomous landing, targetless landing zone evaluation, and perception-driven navigation in real operating environments. Your work will directly impact how aircraft identify safe landing areas, operate in degraded environments, and complete missions reliably without prepared infrastructure
- You will work across perception, sensor fusion, and flight systems to improve how aircraft understand terrain, obstacles, and environmental conditions during autonomous operations
- You will work closely with autonomy, GNC, and flight operations teams to take systems from development through flight testing and operational deployment
- Develop and deploy computer vision systems for autonomous landing and landing zone evaluation
- Build perception systems for targetless landing in unstructured and dynamic environments
- Develop algorithms for terrain understanding, obstacle detection, and environment classification
- Work with onboard camera, IMU, GPS, and other sensor data in real flight environments
- Improve system performance using operational flight data, testing, and iteration
- Collaborate across autonomy, GNC, and flight operations teams to integrate perception into flight behaviors
- Debug perception and autonomy issues observed during simulation, ground testing, and flight operations
- Contribute to software architecture, testing, integration, and deployment workflows- 5+ years of experience developing and deploying computer vision or perception systems in real-world environments
- Strong proficiency in C++ and Python
- Strong communication and collaboration skills
- Experience working with real sensor data and operational deployment constraints
- Experience with perception systems for robotics, autonomous vehicles, drones, or aerospace platforms
- Strong understanding of camera systems, sensor fusion, and state estimation concepts
- Experience debugging and improving deployed perception systems using logs, telemetry, or flight data
- Ability to operate effectively in fast-moving engineering environments
- The ideal candidate has experience deploying perception systems on real robotic, automotive, or aerial platforms and understands the challenges of reliability, integration, and operational performance at system level
- Experience with autonomous aircraft or aerial robotics
- Experience with landing zone evaluation, terrain classification, or visual navigation systems
- Background in SLAM, visual odometry, or GPS-denied navigation
- Experience with embedded or real-time systems
- Experience deploying perception systems to resource-constrained platforms
- Familiarity with ROS2 or similar robotics frameworks
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