BRINC Drones
Autonomy Engineer, Navigation
$122K–$275K
Seattle, WA · Hybrid · Full-time · Posted Dec 3, 2025
- Experience
- A Master's degree with a minimum of 2+ years of industry experience is an alternative to a PhD.
- Education
- PhD in Computer Science or a related field, or a Master's degree with the stated experience alternative.
About the job
Develops and integrates real-time navigation algorithms that help UAVs plan routes, perceive hazards, and navigate safely in varied conditions.
What you'll do
- Research, implement, and optimize UAV planning, perception, obstacle-avoidance, and route-planning algorithms for embedded processors.
- Validate navigation using simulation, log replay, hardware-in-the-loop, and real-world flight testing.
- Collaborate across teams to integrate navigation solutions and help guide the navigation and sensing stack.
What they ask for
- 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.
Nice to have
- Familiarity with motion/path planning techniques such as RRT*, A*, or MPC-based trajectory optimization.
- Experience with radar, computer vision, or deep learning for perception on resource-constrained edge hardware; UAV reliability and autonomous flight; ROS2, PX4, MAVSDK, or similar middleware; or safety-critical software practices.
Pay
$122K – $275K (USD; base salary or total pay not specified)
Tools
C++, Python, RRT*, A*, MPC, ROS2, PX4, MAVSDK
AI focus
Apply deep learning for perception on resource-constrained edge hardware (preferred).
Model-written summary · the original posting is authoritative