Zone 5 Technologies is redefining what's possible in unmanned aircraft systems, seeking exceptional talent to develop cutting-edge autonomous solutions. The GNC Engineer V/VI is responsible for leading the design and optimization of advanced guidance, navigation, and control systems for UAS, mentoring junior engineers and driving innovation in flight controls software.
Responsibilities:
- Lead the design, analysis, and development of flight controls software for Group 1 to 4 UAS
- Architect and implement advanced software components for deployment to flight tests
- Oversee the creation and execution of high-fidelity SWIL and HWIL simulations to validate system performance
- Develop and refine complex models in Matlab/Simulink, ensuring accuracy and performance optimization
- Perform advanced stability and performance analyses, providing guidance on control system optimization
- Mentor and train junior engineers, fostering technical growth and team collaboration
- Drive effective communication and alignment across engineering disciplines to meet project objectives
- Lead research initiatives in advanced flight control methodologies, embedded systems, and auto-code generation
- Produce comprehensive technical documentation and lead peer review processes to ensure quality and compliance
Requirements:
- Master's degree in Aerospace Engineering, Mechanical Engineering, or a related field
- 10+ years of experience in flight controls engineering, with at least 5 years in UAS applications
- Expertise in Matlab/Simulink and auto-code generation for embedded systems
- Advanced knowledge of control theory, flight dynamics, and embedded systems
- Experienced in state estimation and Kalman filtering
- Proven ability to run and analyze SWIL and HWIL simulations
- Strong leadership and project management skills
- Effective communication and collaboration skills
- Familiarity with Group 1-4 UAS flight controls and avionics suites
- Experience leading multi-disciplinary engineering teams
- Knowledge of advanced control techniques and optimization algorithms
- History of contributing to successful flight test programs and R&D projects