We are:

Empowering innovation among the company's businesses.

Solving customers' critical problems.

Developing breakthroughs for a safer, more connected world.

Working with major universities and national laboratories on groundbreaking research.

The Dynamics, Controls, and Autonomy team supports dynamical system analysis and modeling, control system analysis and design, and autonomous systems research for all RTX business units, including both development of novel solutions for future products and solving the toughest problems with current products. In parallel, we are working with government customers on more broadly applicable technology.

What you will do:

We are looking for a highly motivated candidate eager to apply and extend the state of the art of modeling and control of Power, Propulsion and Thermal Management Systems (PPTMS). The candidate is expected to work on transitioning novel concepts from early technology stages to a state that impacts and influences businesses and applications. The responsibilities include:

Designing and developing novel control solutions for PPTMS systems in aerospace and defense applications including, but not limited to, jet engines, missiles, autonomous vehicles and systems, hypersonic vehicles, advanced manufacturing, and space systems; leading and supporting externally and internally sponsored programs, writing external and internal research proposals;

building relationships to support developing business relationships with industry, academia, and government agencies; disseminating research results through reports, conference proceedings, and peer-reviewed articles, and developing intellectual property.

The preferred candidate will have a strong understanding of science and engineering principles and a record of innovation as evidenced by patent applications, a track record of writing proposals for government funded research programs, and/or high-quality journal and conference publications. The candidate must be self-motivated, and must have excellent written/verbal communication and strong problem-solving skills. US Citizenship is required and active clearance is a plus.

Qualifications you must have:

• Education: BS degree in Mathematics, Physics, Computer Science or Engineering with 5+ years of relevant experience.
• Extensive experience in model-based control, including:
• optimization-based control design, including Model Predictive Control, from formulating the problem to implementation in software
• standard multivariable control techniques
• estimation
• Hardware-in-the-Loop validation and real-time/embedded implementation of control laws
• Control-oriented modeling of physical systems, both from first principles and data-driven
• Proficiency in MATLAB/Simulink
• U.S. Person (U.S. citizen, permanent resident, refugee or asylee) or eligible to obtain necessary export authorizations required.

The candidate will have solid skills in a combination of the following areas:

Modern multivariable control and estimation

Model Predictive/Optimization based Control

Control-Oriented Modeling of physical systems, including PPTMS

Hybrid dynamical systems, discrete event systems

MATLAB/Simulink

Modelica/Dymola and Functional Mockup Interface (FMI)

Preferred Qualifications:

Experience with one or more of these is desirable:

• Application experience in one or more of the following:
• gas turbine engine modeling and control;
• vehicle-level dynamics and controls integration;
• hypersonic propulsion;
• electric or hybrid-electric propulsion;
• power systems
• Experience with writing proposals for Gov't funded research, record of grants
• Real-time control prototyping and Software/Hardware-in-the-Loop testing (Speedgoat, dSPACE, LabView/NI DAQ)
• Model-Based System Engineering (MBSE)
• Control co-design, including nested optimization
• Machine learning for control, including reinforcement learning
• Experimental system identification
• US Security Clearance or willingness to obtain and maintain one is preferred for this position.

The salary range for this role is 77,000 USD - 163,000 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.

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. Specific benefits are dependent upon the specific business unit as well as whether or not the position is covered by a collective-bargaining agreement.

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

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