Engine Control Laws and Fuel System Control Principal Engineer P4 (Onsite)

• Bachelor’s degree in Science, Technology, Engineering or Mathematics (STEM)
• 8 years of engineering experience or 5 years with an advanced degree

• M.S. degree
  Expertise developing physics-based models of turbo-machinery components by applying principles and methods from thermodynamics, aerodynamics, and heat transfer and integrating component models into a numerically robust system model.
• Expertise developing physics-based models of fuel systems and fueldraulic actuation systems.
• Expertise developing dynamic models using the Modelica modeling language.
• Expertise designing and analyzing estimation algorithms by applying methods and tools from multi-input multi-output dynamical linear system and estimation theory.
• Expertise applying statistical models and methods for modeling uncertainty propagation in dynamical systems.
• Demonstrated mastery of one or more of the following technical areas: multivariable feedback control, model predictive control, numerical optimization, state estimation, stability analysis of multivariable and hybrid systems, real-time propulsion system and fuel system dynamic modeling, simulation, and dynamic analysis.
• Solid track record of achieving results.
• Outstanding communication and teamwork skills.

At RTX, the world largest aerospace and defense company, 185,000 great minds are united by purpose and inspired to make a difference solving the world’s most complex problems. With our three market leading businesses, world-class operations and investments in research and development, we offer capabilities and opportunity no one else can. Together, we push the boundaries of known science and find new ways to connect and protect our world. 

Pratt & Whitney is a world leader in the design, manufacture and service of aircraft engines and auxiliary power systems and has been revolutionizing modern flight for over 100 years. Join us and help shape the future of aerospace and defense.

• →Plan and develop model predictive control and parameter estimation algorithms for military and commercial engine programs.
• →Develop engine, actuation, and fuel system dynamic models and apply these models for development of functional requirements for control law algorithms, fuel system and actuation dynamics.
• →Develop model-based sensor and actuator fault detection, isolation, and accommodation (FDIA) algorithms.
• →Collaborate with internal customers/stakeholders to identify opportunities for control law product and process improvements.
• →Create and improve process and standards for development, validation, and verification of engine control laws, fuel system control laws, and FDIA algorithms.
• →Provide technical review and oversight of control and parameter estimation algorithm design and analysis.
• →For emerging algorithm issues, lead root cause determination and corrective action throughout entire product life cycle from initial concept phases, through engine testing and in-service operation.
• →Develop and update control law training materials and provide mentoring and training for team  members.

• →Gas turbine engine control law theory and practice.
• →Realtime gas turbine engine modeling and analysis.
• →State estimation for gas turbine engine performance estimation.
• →Engine operability and performance.
• →Engine control law software verification and validation.
• →State of the art dynamic modeling methodologies.
• →Model based requirements processes.

CDS develops complex, cyber-resilient control systems and software for commercial and military engines including power and thermal management Systems and auxiliary power units. CDS also develops advanced diagnostic & health management systems to monitor our products, forecast events and help facilitate MRO operations. With growing emphasis on sustainability, CDS is on the forefront of system development for hybrid and electric propulsion.

In addition to transforming the future of flight, we are also transforming how and where we work. We’ve introduced role types to help you understand how you will operate in our blended work environment.

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