Flight Software Engineer

Responsibilities

• Design, develop, and optimize autonomous flight software, including guidance, navigation, and control (GNC) algorithms specifically for autonomous aircraft.
• Implement real-time decision-making systems for autonomous operations, managing dynamic flight conditions and environmental factors.
• Integrate software with onboard sensors, actuators, and avionics, enabling autonomous mission execution and real-time adaptation.
• Develop software for flight planning, collision avoidance, precision landing, and mission management.
• Test and validate software using simulation environments, hardware-in-the-loop (HITL) setups, and real-world flight testing.
• Conduct rigorous code reviews and implement best practices to ensure software reliability and performance in autonomous aircraft systems.
• Collaborate with aerospace engineers, avionics engineers, and field testing teams to ensure robust software integration and reliable flight operation.
• Troubleshoot, debug, and optimize flight software both in simulation and during field tests.

Requirements

• Hands-on experience working on autonomous aircraft, including developing and implementing flight control algorithms.
• Proficiency in programming languages such as C++, Python, or Rust for real-time embedded systems.
• Experience with middleware like ROS (Robot Operating System) or similar frameworks for autonomous systems.
• Proven track record of developing and deploying GNC algorithms on autonomous aircraft platforms.
• Experience with flight simulation environments, HITL testing, and real-world autonomous flight testing.
• Experience with computer vision frameworks and integration into flight environments.
• Knowledge of sensor fusion, path planning, obstacle avoidance, and adaptive control techniques.
• Experience with safety-critical software development, validation, and compliance in aviation.
• Strong problem-solving skills and the ability to innovate when faced with real-world autonomous flight challenges.

Qualifications

• Hands-on experience working on autonomous aircraft, including developing and implementing flight control algorithms.
• Proficiency in programming languages such as C++, Python, or Rust for real-time embedded systems.
• Experience with middleware like ROS (Robot Operating System) or similar frameworks for autonomous systems.
• Proven track record of developing and deploying GNC algorithms on autonomous aircraft platforms.
• Experience with flight simulation environments, HITL testing, and real-world autonomous flight testing.
• Experience with computer vision frameworks and integration into flight environments.
• Knowledge of sensor fusion, path planning, obstacle avoidance, and adaptive control techniques.
• Experience with safety-critical software development, validation, and compliance in aviation.
• Strong problem-solving skills and the ability to innovate when faced with real-world autonomous flight challenges.