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

U.S. citizenship is required, as only U.S. citizens are eligible for a security clearance. The ability to obtain and maintain an active, existing U.S. government issued DoD Secret security clearance is required after day 1.

About the role

At RTX, the world’s 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. Pratt & Whitney is a world leader in the design, manufacture and service of aircraft engines and auxiliary power systems, revolutionizing modern flight for over 100 years. This onsite role is based in West Palm Beach, FL.

Responsibilities

• 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 the 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.

What You Will Learn

• 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.

Requirements

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

Qualifications

• 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.

Benefits

• Medical, dental, vision, life insurance, short-term disability, long-term disability.
• 401(k) match.
• Flexible spending accounts.
• Flexible work schedules.
• Employee assistance program.
• Employee Scholar Program.
• Parental leave.
• Paid time off and holidays.
• Annual short-term and/or long-term incentive compensation programs (payments not guaranteed and dependent on individual, business unit, and company performance).
• Relocation assistance.

Pay

The salary range for this role is 107,500 USD - 204,500 USD. The salary range provided is a good faith estimate representative of all experience levels. RTX considers several factors when extending an offer, including but not limited to, the role, function and associated responsibilities, a candidate’s work experience, location, education/training, and key skills.