Engine Control Laws and Fuel System Control Design Engineer II - Onsite

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

Date Posted: 2026-10-12 Country: United States of America Location: US-CT-EAST HARTFORD-OBF2 ~ 400 Main St ~ BLDG OBF2 Position Role Type: Onsite U.S. Citizen, U.S. Person, or Immigration Status Requirements: The ability to obtain and maintain a U.S. government issued security clearance is required. U.S. citizenship is required, as only U.S. citizens are eligible for a security clearance Security Clearance Type: DoD Clearance: Secret Security Clearance Status: Active and existing security clearance required after day 1 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. 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, they push the boundaries of known science and find new ways to connect and protect our world.

What You Will Do:

• In this role you will lead development of model predictive propulsion control algorithms, engine parameter estimation algorithms, and model predictive fuel control systems.
• Model predictive control algorithms coordinate multiple system inputs to optimize engine and fuel system operation.
• 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.
• Participating in improving process and standards for development, validation, and verification of engine control laws, fuel system control laws, and FDIA algorithms.

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.

Qualifications You Must Have:

• Master's degree in Science, Technology, Engineering or Mathematics (STEM) obtained by start date.
• Minimum 3.0 GPA.
• Proficiency in 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.

Qualifications We Prefer:

• 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.
• Experience with Matlab and Simulink.

What We Offer:

At RTX we value: Trust, Respect, Accountability, Collaboration, and innovation.

Relocation Eligibility

Onsite: Employees who are working in Onsite roles will work primarily onsite. This includes all production and maintenance employees, as they are essential to the development of our products. As part of our commitment to maintaining a secure hiring process, candidates may be asked to attend select steps of the interview process in-person at one of our office locations, regardless of whether the role is designated as on-site, hybrid or remote.

The salary range for this role is 68,900 USD - 131,100 USD.

Hired applicants may be eligible for benefits, including but not limited to, 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.

Hired applicants may be eligible for annual short-term and/or long-term incentive compensation programs depending on the level of the position and whether or not it is covered by a collective-bargaining agreement.

Payments under these annual programs are not guaranteed and are dependent upon a variety of factors including, but not limited to, individual performance, business unit performance, and/or the company’s performance.

This role is a U.S.-based role.

If the successful candidate resides in a U.S. territory, the appropriate pay structure and benefits will apply.

RTX anticipates the application window closing approximately 40 days from the date the notice was posted. However, factors such as candidate flow and business necessity may require RTX to shorten or extend the application window.

RTX is an Equal Opportunity Employer.

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or veteran status, or any other applicable state or federal protected class.

RTX provides affirmative action in employment for qualified Individuals with a Disability and Protected Veterans in compliance with Section 503 of the Rehabilitation Act and the Vietnam Era Veterans’ Readjustment Assistance Act.

Privacy Policy and Terms: RTX is an aerospace and defense company that provides advanced systems and services for commercial, military and government customers worldwide. It comprises three industry-leading businesses – Collins Aerospace, Pratt & Whitney, and Raytheon. Its 195,000 employees enable the company to operate at the edge of known science as they imagine and deliver solutions that push the boundaries in quantum physics, electric propulsion, directed energy, hypersonics, avionics and cybersecurity. The company, formed in 2020 through the combination of Raytheon Company and the United Technologies Corporation aerospace businesses, is headquartered in Arlington, Virginia.