Autonomy Engineer, Computer Vision

ABOUT BRINC:

At BRINC, we are redefining public safety with an innovative ecosystem of life-saving tools. Our journey started with the development of drones and ruggedized throw phones, designed to access unsafe areas and establish communication to de-escalate situations. Today, we've expanded into creating and deploying 911 response networks, where drones are dispatched to 911 calls to provide real-time visual data, enhancing safety and enabling de-escalation-focused responses. Our cutting-edge solutions are utilized by over 600 public safety agencies across America and the company has raised over $150M from investors, including Index Ventures, Motorola Solutions, Sam Altman, Dylan Field, Mike Volpe, Alexandr Wang and more. At BRINC, we are committed to recruiting the world's best talent to join us in our mission to support first responders in saving lives.

ABOUT THIS ROLE:

We are seeking a Computer Vision Engineer to join our Autonomy engineering team to advance the visual perception and vision-based autonomy capabilities of our UAVs and public safety products. You will design, implement, and optimize real-time computer vision algorithms that enable robust localization, mapping, and visual navigation in challenging environments. In this role, you will work across VIO, VSLAM, depth and reconstruction pipelines, and visual scene understanding, collaborating closely with software, autonomy, controls, and hardware teams to bring vision algorithms into production UAV systems.

KEY 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 navigat...