Autonomy Engineer, Navigation

About this role

BRINC is seeking a Computer Vision Engineer to advance visual perception and autonomy for UAVs deployed in public safety operations. You'll design and optimize real-time vision algorithms for localization, mapping, and navigation in challenging environments, working across VIO, VSLAM, and scene understanding while collaborating with autonomy and hardware teams.

What you'll do

• Design and implement vision-based localization and mapping algorithms including VIO and VSLAM
• Develop real-time computer vision pipelines for tracking, depth estimation, reconstruction, and obstacle detection
• Architect sensor fusion systems combining cameras, IMUs, LiDAR, and radar for robust perception
• Build perception models for scene understanding, object detection, and dynamic obstacle identification
• Optimize CV pipelines for embedded GPU and accelerator platforms with focus on latency and performance
• Validate perception systems through simulation, hardware-in-the-loop, and real-world flight testing

What they're looking for

• C++ and Python programming for real-time systems
• VSLAM, VIO, and visual localization techniques
• Computer vision frameworks and modern perception methods
• Embedded systems and GPU optimization
• Sensor fusion and vision-IMU systems
• Machine learning model optimization for edge hardware
• ROS, PX4, or similar robotics middleware
• UAV testing, debugging, and field validation