Autonomous Aerial GNC Engineer — Bio-Inspired Perception

The Chronicle Of Higher Education, Inc.

Boulder (CO)

On-site

USD 70,000 - 80,000

Full time

7 days ago
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Benefits offered by this job

Medical, dental, and retirement plans
Paid time off
Tuition assistance for you and depend
ECO Pass for local transit

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 vehicles.

You will integrate perception systems with inner-loop flight controllers to enable robust flight behaviors, working closely with researchers on event-based vision, focal plane imaging, and mmWave radar.

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).
  • Experience integrating vision systems, event cameras, LiDAR, radar on robotic platforms.
  • Proficient in C++ and Python; experience with ROS2, PX4.

Responsibilities

  • Design adaptive guidance and navigation for autonomous aerial vehicles.
  • Develop perception-driven guidance laws integrating event-based vision and mmWave radar.
  • Design multi-sensor fusion and state estimation for dynamic tracking and autonomous pursuit.
  • Implement and evaluate algorithms within ROS2, PX4/ArduPilot and embedded onboard computing platforms.
  • Conduct simulation studies, hardware integration, and outdoor flight experiments.

Skills

Robotics
Estimation & control
Sensor fusion
EKF / ESKF
ROS2
PX4
C++
Python
Computer vision
LiDAR / radar integration

Education

PhD in engineering, robotics, or computer science

Tools

ROS2
PX4

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 vehicles.

You will integrate perception systems with inner-loop flight controllers to enable robust flight behaviors, working closely with researchers on event-based vision, focal plane imaging, and mmWave radar.

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