Embedded Firmware Engineer

SUMMARY:
Our client is seeking advanced aviation headset technology designed to transform pilot safety within the general aviation sector.
Their cutting-edge platform integrates predictive aerodynamic safety algorithms with drone flight mathematics, leveraging technologies such as ArduPilot and the EKF3 engine to create intelligent, real-time pilot safety systems.

POSITION INFO:

Minimum Requirements

• Expert-level proficiency in Embedded C and C++ development.
• Extensive experience developing firmware for embedded systems with strict real-time timing constraints.
• Strong hands-on experience with Real-Time Operating Systems (RTOS), including:
  • ChibiOS
  • FreeRTOS
  • Zephyr
• Demonstrable experience working with the ArduPilot or PX4 codebase.
• Strong understanding of:
  • Sensor driver implementation
  • EKF execution
  • MAVLink architecture
• Experience writing custom bare-metal drivers from scratch.
• Strong understanding of:
  • Kinematic mathematics
  • Quaternions
  • Spatial filtering
• Experience working with STM32 microcontrollers, specifically STM32H7 platforms.
• Strong debugging and system optimization skills.
• Ability to read and interpret hardware datasheets and schematics.

Key Responsibilities

• Develop and maintain customized ArduPilot flight stack implementations running on proprietary AeroNode hardware via ChibiOS.
• Design and implement low-level firmware and RTOS functionality for STM32H7 platforms.
• Write, test, and maintain hwdef.dat files for custom STM32 hardware integration with ArduPilot ChibiOS.
• Develop and optimize low-level SPI/I2C sensor drivers for:
  • Dual IMUs (ICM-42688)
  • Bosch/Infineon barometers
  • U-blox GPS modules
• Build and maintain life-safety memory architecture using Flash, eMMC, MRAM, and FRAM technologies.
• Develop crash-detection logic and ultra-fast memory dump systems triggered by high-G IMU interrupts.
• Configure and optimize MAVLink telemetry streaming over UART at high baud rates.
• Optimize STM32 Floating Point Unit (FPU) performance for EKF3 processing and high-frequency sensor fusion loops.
• Assist in translating Python-based aerodynamic safety algorithms into efficient native C++ modules.
• Conduct system profiling, debugging, and firmware performance optimization.
• Collaborate closely with hardware, systems, and aviation software engineering teams.