Autonomy Engineer: UAV State Estimation & Real-Time Control

BRINC Drones; Seattle (WA); On-site; USD 120,000 - 180,000; Full time

Benefits offered by this job

Comprehensive medical, dental and blue

401K plan

Maternity and paternity leave

Flexible Time Off / Paid time off

Flexible work environment

Orca pass

Free snacks, drinks and espresso (SEA)

Job summary

BRINC is seeking an Autonomy Engineer to advance UAV state estimation and control for emergency-response drones in Seattle. You will design, implement, and optimize real-time algorithms, collaborating with navigation, embedded software and hardware teams to bring cutting-edge autonomous flight solutions into production platforms.

Ideal candidates have a PhD or Master’s with industry experience, strong C++/Python skills, and a background in state estimation or control for unmanned systems.

Qualifications

• PhD or Master’s with industry experience required.
• Strong programming skills in C++ and Python for real systems.
• Experience developing state estimation and/or control for unmanned systems.
• Solid understanding of estimation and control fundamentals (EKFs, state feedback).

Responsibilities

• Research and design UAV state estimation and control algorithms.
• Implement real-time estimation and control on embedded processors.
• Validate performance via simulation, replay, hardware-in-the-loop, and flight tests.
• Collaborate with navigation, software and hardware teams.
• Contribute to strategy and best practices for estimation/control stack.

Skills

C++

Python

Real-time systems

State estimation

Education

PhD in Computer Science or related field

Master's degree with 2+ years industry experience

Tools

ROS2

PX4

MAVSDK

Job description

BRINC is seeking an Autonomy Engineer to advance UAV state estimation and control for emergency-response drones in Seattle. You will design, implement, and optimize real-time algorithms, collaborating with navigation, embedded software and hardware teams to bring cutting-edge autonomous flight solutions into production platforms.

Ideal candidates have a PhD or Master’s with industry experience, strong C++/Python skills, and a background in state estimation or control for unmanned systems.