Autonomous Aerial GNC Engineer | Bio-Inspired Robotics

CU Boulder; Boulder (CO); On-site; USD 70,000 - 80,000; Full time

Benefits offered by this job

Medical, dental, retirement plans

Paid time off

Tuition assistance

ECO Pass

Job summary

The Bio-Inspired Perception and Robotics Laboratory (BPRL) at the University of Colorado Boulder seeks a Flight Guidance, Navigation, and Control Engineer to design adaptive guidance and navigation for autonomous aerial platforms.

The role integrates perception systems with inner-loop flight controllers, working with event-based vision, mmWave radar, and multi-sensor fusion. PhD required; strong C++/Python and ROS2/PX4 experience are essential.

Qualifications

• PhD in engineering, robotics, or computer science.
• Strong background in robotics, estimation, guidance, navigation and control.
• Experience with sensor fusion and state estimation techniques (EKF, ESKF, factor graph optimization).
• Strong programming skills in C++ and Python; experience with ROS2, PX4.

Responsibilities

• Design adaptive guidance and navigation algorithms for autonomous aerial vehicles.
• Develop perception-driven guidance laws integrating event-based vision, focal plane imaging and radar.
• Implement multi-sensor fusion and state estimation; run simulations and hardware integration.
• Conduct outdoor flight testing and analyze flight data to improve autonomy.

Skills

Robotics

Estimation

Guidance

Navigation

Control

Sensor fusion

State estimation

C++

Python

ROS2

PX4

Education

PhD in engineering, robotics, or computer science

Tools

ROS2

PX4/ArduPilot

Embedded computing

Job description

The Bio-Inspired Perception and Robotics Laboratory (BPRL) at the University of Colorado Boulder seeks a Flight Guidance, Navigation, and Control Engineer to design adaptive guidance and navigation for autonomous aerial platforms.

The role integrates perception systems with inner-loop flight controllers, working with event-based vision, mmWave radar, and multi-sensor fusion. PhD required; strong C++/Python and ROS2/PX4 experience are essential.