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BRINC

Robot type
Drone
Location
SeattleWashingtonUSA
Job type
Software
Posted
Dec 3, 2025
Salary
$122,000–$275,000 a year
Full-time

Autonomy Engineer, Navigation

Job description

We are seeking an Autonomy Engineer to join our team and advance the navigation capabilities of our UAVs and public safety products. You will design, implement, and optimize real-time planning & perception algorithms that enable safe navigation across a wide range of scenarios. In this role, you will work across local trajectory generation, obstacle detection and avoidance, global route planning, and behavior planning. You will collaborate closely with state estimation & control, embedded software, live ops, and hardware teams to bring next-generation navigation solutions into production UAV platforms.

At BRINC, we are building the technology that will define the future of emergency…

Job responsibilities

  • Research and design algorithms enabling safe UAV navigation.
  • Implement and optimize navigation algorithms on embedded processors for computational efficiency and system resiliency.
  • Work with sensor data to detect and avoid obstacles and environmental hazards.
  • Validate navigation performance through simulation, log replay, hardware-in-the-loop, and real-world flight testing in a variety of conditions.
  • Collaborate with cross-functional teams to ensure seamless integration.
  • Contribute to technical strategy, define best practices, and help guide the evolution of the navigation and sensing stack as systems scale and mature.

Job requirements

  • PhD in Computer Science or a related field, or a Master's degree with a minimum of 2+ years of industry experience.
  • Strong programming skills in C++ and Python, with experience developing software for real physical systems.
  • Experience developing planning or perception systems for unmanned systems.
  • Familiarity with motion/path planning techniques such as RRT*, A*, or MPC-based trajectory optimization
  • Experience applying radar, computer vision, or deep learning for perception on resource-constrained edge hardware
  • Background in UAV reliability, redundancy, and autonomous flight considerations
  • Experience with ROS2, PX4, MAVSDK, and/or similar robotics middleware
  • Familiarity with safety-critical or certifiable software practices a plus

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