BRINC is looking to advance the visual perception and vision-based autonomy capabilities of their UAVs and public safety products by developing real-time computer vision algorithms for localization, mapping, and visual navigation in challenging environments.
Requirements
- Strong programming skills in C++ and Python, with experience building real-time systems.
- Experience developing computer vision or perception systems for robotics or UAVs, with a foundation in VSLAM, VIO, and/or related topics.
- Proficiency with standard frameworks and modern computer vision techniques.
- Familiarity with implementing CV models or pipelines on embedded systems, GPUs, or hardware accelerators.
- Hands-on experience with robotics or UAV testing, including data collection, system debugging, and field validation.
- Deep knowledge of sensor fusion and tightly coupled vision–IMU systems.
- Experience with machine learning–based perception, including training and optimizing deep models for edge hardware.
Responsibilities
- 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.
Other
- Minimum of 3+ years of industry experience.
- Ability to help shape architecture, mentor engineers, and drive cross-functional technical decisions as needed.
- Experience with ROS, PX4, MAVSDK, and/or similar robotics middleware.
- Familiarity with UAV safety, reliability, and regulatory considerations for autonomous systems.
- Collaborate with cross-functional teams to ensure seamless integration with autonomy, controls, mechanical, and firmware systems.
