About The Position

The Systems Modeling and Simulation Engineer within Advanced Design & Development (AD&D) is responsible for developing high-fidelity simulation models and environments that support aircraft system integration, flight simulator development, and certification activities for future Part 23 aircraft. This role will focus on creating and validating models for avionics, flight controls, propulsion, mechanical, electrical, and other aircraft systems. These models will be used in early design evaluation and integration testing in an System Integration Lab / Iron Bird environment, and also for simulator-based verification. The engineer will work closely with cross-functional teams to ensure models accurately represent real-world performance and meet FAA certification requirements.

Requirements

  • Bachelor’s degree in Aerospace, Mechanical, Electrical, Systems Engineering, or related STEM discipline.
  • 4-7 years of experience in modeling and simulation for aerospace, automotive, or similar systems.
  • Ability to validate models using lab and flight test data.
  • Advanced data science skills.
  • Excellent problem-solving skills and ability to work in cross-functional teams.
  • Excellent work planning and issue resolution skills
  • Experience architecting complex distributed and real-time software frameworks.
  • Experience in developing both low and high-fidelity system models spanning both early concept activities up to detailed design activities.
  • Experience using simulation and analysis for certification credit.
  • Experience validating complex models.
  • Experience with automated testing frameworks and data analysis tools.
  • Experience with developing, training, and optimizing neural networks or other machine learning models in the context of systems modeling.
  • Experience with experimental data processing and reduction techniques.
  • Experience with flight simulator development and integration.
  • Experience with hardware-in-the-loop testing and integration test labs.
  • Experience with National Instruments tools and software.
  • Expert level knowledge of Matlab, Simulink, Python, and C++.
  • Familiarity with ASTM standards for fixed wing aircraft.
  • Familiarity with system development standards.
  • Familiarity with system safety analytical methods and processes.
  • Previous aircraft certification program experience.
  • Previous clean sheet design and early development program experience.
  • Previous experience developing system models and simulations, including off-nominal operating conditions and failure modes.
  • Proficiency in MATLAB, Simulink, and Python.
  • Startup or rapid development program experience.
  • Strong understanding of aircraft systems and FAA Part 23 certification requirements.
  • Strong understanding of fundamentals of fixed-wing aircraft systems.
  • Strong understanding of the fundamentals of Differential Equations and their numerical solutions methods, electrical circuits, kinematics, and dynamic systems.
  • Strong verbal and written communication skills.

Nice To Haves

  • Master’s degree in a related discipline, preferred.
  • Private pilot certificate or personal aviation experience.

Responsibilities

  • Analyze experimental data to identify sources of errors, validate results, and improve models of systems and equipment.
  • Collaborate with avionics, flight controls, propulsion, mechanical, electrical, software, and certification teams to define modeling requirements and ensure compliance with Part 23 standards.
  • Collaboratively develop and maintain system and equipment-level models that simulate the behavior and performance of nominal, off-nominal, and malfunctioning/failure operating conditions.
  • Coordinate closely with subject matter experts from flight controls, avionics, electrical, mechanical, and powerplant systems.
  • Design and implement simulation environments for flight simulators and integration test labs.
  • Develop automated workflows for model execution, data analysis, and reporting.
  • Develop efficient methods to feed flight test data back into simulation models of various fidelity and complexity.
  • Document modeling assumptions, validation results, and integration procedures for internal and regulatory use.
  • Support integration testing and troubleshooting of complex aircraft systems in simulated and hardware-in-the-loop environments.
  • Travel up to 15% may be required.
  • Validate models against lab test and flight test data to ensure accuracy and reliability.
© 2024 Teal Labs, Inc
Privacy PolicyTerms of Service