Bio-Inspired Embedded Flight Control Engineer

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

Benefits offered by this job

Medical and dental plans

Retirement plans

Paid time off

Tuition assistance for you and depend-

ECO Pass for local transit

CU Boulder community and outdoor rec

Job summary

CU Boulder’s Bio-Inspired Perception and Robotics Laboratory (BPRL) seeks an Embedded Firmware and Flight Control Engineer to design and implement bio-inspired flight control architectures on aerial platforms and perform flight demonstrations for stakeholders.

The role bridges theory and practical implementation, requiring low-level C++ on microcontrollers, RTOS configuration, and hands-on work with PX4, ArduPilot, ROS2, and sensor interfaces.

Qualifications

• PhD in engineering, robotics, or computer science.
• Experience with embedded C++ (RTOS), Python, ArduPilot, PX4, ROS2.
• Hands-on experience with CAN, SPI, I2C, and UART.
• Solid grasp of control theory, PID/modern feedback loops, and state estimation filters (Kalman filters).
• Hands-on experience deploying embedded custom controllers onboard flight platforms (e.g. quadrotors).

Responsibilities

• Design, write, and test low-level C++ code on microcontrollers/microprocessors.
• Write custom control architecture code and tune control loops for flight performance.
• Troubleshoot circuit boards and communication protocols (CAN, I2C, UART, etc.).
• Configure real-time operating systems (RTOS).
• Set up, launch, and execute flight demonstrations for stakeholders.

Skills

embedded C++

RTOS

Python

ArduPilot

PX4

ROS2

CAN bus

SPI

I2C

UART

control theory

Kalman filters

Education

PhD required

Tools

CAN

SPI

I2C

UART

Job description

CU Boulder’s Bio-Inspired Perception and Robotics Laboratory (BPRL) seeks an Embedded Firmware and Flight Control Engineer to design and implement bio-inspired flight control architectures on aerial platforms and perform flight demonstrations for stakeholders.

The role bridges theory and practical implementation, requiring low-level C++ on microcontrollers, RTOS configuration, and hands-on work with PX4, ArduPilot, ROS2, and sensor interfaces.