Poseidon Aerospace is reimagining how the world moves goods. We build and operate full-size autonomous cargo aircraft - capable of carrying two tons of payload over a thousand nautical miles. From remote communities to contested logistics operations, our platforms unlock a new cost curve for air freight, making it faster, cheaper, and accessible anywhere it's needed. Headquartered in the San Francisco Bay Area with locations in Washington DC, Oregon, and Maine; we're building something consequential.
As a Flight Software Engineer at Poseidon Aerospace, you will develop and maintain autonomous flight software for our aircraft. You will work on systems that enable safe, reliable, and efficient autonomous flight, including navigation, control algorithms, and real-time decision-making. We’re looking for someone with hands-on experience working on autonomous aircraft, who thrives in dynamic environments, and is passionate about pushing the boundaries of aviation technology.
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.
Ideal 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.
Competitive salary and meaningful early-stage equity
Relocation support if applicable
Employee Health Benefit Plans
6% Retirement matching
Flexible PTO
Free lunches, snacks, and a stocked fridge at our offices
AI tools and subscriptions
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