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BRINC

Robot type
Drone
Location
SeattleWashingtonUSA
Job type
Software
Posted
Jul 2, 2026
Salary
$122,000–$275,000 a year
Full-time

Autonomy Engineer, State Estimation & Control

Job description

We are seeking an Autonomy Engineer to join our team and advance the reliability and resiliency of our UAV state estimation & control systems. You will design, implement, and optimize real-time algorithms that enable the drone to localize itself and maintain stability while moving through the world. In this role, you will work with sensor fusion algorithms (EKFs, factor graphs, VIO), and fast real-time control loops. You will collaborate closely with navigation, embedded software, and hardware teams to bring next-generation solutions into production UAV platforms.

At BRINC, we are building the technology that will define the future of emergency response. As a vertically integrated U.S.

Job responsibilities

  • Research and design algorithms enabling UAV state estimation and control.
  • Implement and optimize real-time estimation & control algorithms on embedded processors for computational efficiency and system resiliency.
  • Validate estimation and control 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 estimation and control 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 state estimation and/or control algorithms for physical unmanned systems.
  • Solid understanding of estimation and control fundamentals (EKFs, state feedback control).
  • Familiarity with modern sensor fusion approaches such as factor graphs
  • Familiarity with robust or adaptive control
  • Experience with ROS2, PX4, MAVSDK, and/or similar robotics middleware
  • Familiarity with safety-critical or certifiable software practices a plus

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