Engineer

• Research, design, and implement vision-based localization and mapping algorithms, including VIO and VSLAM.
• Develop real-time computer vision pipelines for tracking, depth estimation, stereo/mono reconstruction, and dense/semi-dense mapping.
• Architect and optimize vision-centric sensor fusion systems combining cameras, IMUs, LiDAR, radar, and other sensors for robustness in diverse environments.
• Build perception algorithms enabling vision-based navigation, including feature tracking, obstacle detection, and perception-driven flight behaviors.
• Develop computer vision and machine learning models for scene understanding, object detection, and dynamic obstacle identification.
• Implement and optimize CV pipelines on embedded GPU or accelerator platforms, focusing on high performance and low latency.
• Validate perception and autonomy performance through simulation, hardware-in-the-loop, and real-world flight testing.
• Collaborate with cross-functional teams to ensure seamless integration with autonomy, controls, mechanical, and firmware systems.
• Contribute to technical strategy, establish best practices, and help guide the evolution of the perception stack as the system scales and matures.

Autonomy Engineer, Computer Vision

Autonomy Engineer, Controls

Autonomy Engineer, Navigation & Sensing

Restoration Engineer

Senior Restoration Engineer