Model-Predictive Propulsion Control Engineer II

RTX; East Hartford (CT); On-site; USD 69,000 - 131,000; Full time

Benefits offered by this job

Medical insurance

Dental insurance

Vision insurance

Life insurance

Short-term disability

Long-term disability

401(k) match

Flexible spending accounts

Flexible work schedules

Employee Assistance Program

Parental leave

Paid time off

Holidays

Employee Scholar Program

Job summary

RTX is seeking a highly qualified engineer to lead model predictive propulsion control, engine parameter estimation, and fuel system control development in East Hartford. The role requires advanced skills in multivariable control, MPC, and state estimation, with collaboration across internal customers to improve control laws and FDIA algorithms.

The position emphasizes model-based design, real-time dynamics, and rigorous validation.

Qualifications

• Master's degree in STEM obtained by start date.
• Minimum 3.0 GPA.
• Proficiency in 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.

Responsibilities

• Lead development of model predictive propulsion control algorithms, engine parameter estimation algorithms, and model predictive fuel control systems.
• Model predictive control coordinates multiple inputs to optimize engine and fuel system operation.
• Plan and develop MPC and parameter estimation algorithms for military and commercial engine programs.
• Develop engine, actuation, and fuel system dynamic models for control law requirements.
• Develop model-based sensor and actuator FDIA algorithms.
• Collaborate with internal customers to identify opportunities for control law product and process improvements.
• Participate in improving processes and standards for development, validation, and verification of engine control laws, fuel system control laws, and FDIA algorithms.

Skills

Multivariable feedback control

Model predictive control

Numerical optimization

State estimation

Real-time propulsion modeling

Control theory

Matlab/Simulink

Education

Master's degree in STEM

Minimum 3.0 GPA

Tools

Modelica

Job description

RTX is seeking a highly qualified engineer to lead model predictive propulsion control, engine parameter estimation, and fuel system control development in East Hartford. The role requires advanced skills in multivariable control, MPC, and state estimation, with collaboration across internal customers to improve control laws and FDIA algorithms.

The position emphasizes model-based design, real-time dynamics, and rigorous validation.