Bio-Inspired Aerial GNC Engineer for Autonomous Flight

University of Colorado Boulder; Boulder (CO); On-site; USD 70,000 - 80,000; Full time

Benefits offered by this job

Health insurance

Dental plan

Tuition assistance

ECO Pass for local transit

Outdoor recreation access

Job summary

The Bio-Inspired Perception and Robotics Laboratory (BPRL) at the University of Colorado Boulder invites applications for a Flight GNC Engineer to design adaptive guidance and navigation for autonomous aerial platforms, integrating perception, event-based vision, and mmWave radar with inner-loop flight controllers.

The role involves developing multi-sensor fusion, state estimation, implementing algorithms in ROS2, PX4/ArduPilot, conducting simulations, hardware integration, and outdoor flight

Qualifications

• PhD in engineering, robotics, or computer science is required.
• Strong background in robotics, estimation, guidance, navigation, and control.
• Experience with sensor fusion and state estimation techniques (EKF, IEKF, factor graphs) and perception sensors on robotic platforms.

Responsibilities

• Design adaptive guidance and navigation algorithms for autonomous aerial vehicles.
• Develop perception-driven guidance laws integrating event-based vision, adaptive focal plane imaging, and mmWave radar.
• Implement and evaluate algorithms within ROS2, PX4/ArduPilot and embedded onboard computing platforms.
• Conduct simulation studies, hardware integration, and outdoor flight experiments using motion capture systems.
• Analyze flight data and iteratively improve autonomous guidance performance in representative scenarios.

Skills

Robotics

Estimation

Guidance and control

Navigation

Sensor fusion

C++ programming

Python programming

ROS2

PX4

Education

PhD in engineering, robotics, or computer science

Tools

ROS2

PX4

Embedded computing platforms

Job description

The Bio-Inspired Perception and Robotics Laboratory (BPRL) at the University of Colorado Boulder invites applications for a Flight GNC Engineer to design adaptive guidance and navigation for autonomous aerial platforms, integrating perception, event-based vision, and mmWave radar with inner-loop flight controllers.

The role involves developing multi-sensor fusion, state estimation, implementing algorithms in ROS2, PX4/ArduPilot, conducting simulations, hardware integration, and outdoor flight