Systems Exploration

Key Skills

Aartificial intelligence, Effective communication skills, Machine learning techniques

Job Description

On our team, you’ll have the opportunity to contribute to the following areas:

• modeling and analysis of novel systems for next generation engine design, space propulsion, undersea propulsion, waste heat recovery, power generation, and cooling

• military operations analysis and commercial product utilization simulations

• exploration methods for large design spaces across aerospace and defense system domains

• application of machine learning and artificial intelligence techniques (algebraic, topological, deep learning)

• implementation of novel optimization and uncertainty quantification methods

• controls and transient co-design approaches

• system demonstrations build and test

and much more!

RTRC was founded by some of the world’s greatest inventors. We helped build the Second Industrial Revolution and brought about a century of urbanization and globalization. Come help us build the next one.

Qualifications You Must Have:

• Master's Degree or Ph.D. Mechanical, Aerospace, Chemical, Nuclear Engineering or a related discipline is required

• We will consider Ph.D. candidates with no formal experience. M.S. candidates must have 2+ year of experience in a relevant work environment

• U.S. Person (U.S. citizen, permanent resident, refugee or asylee) or eligible to obtain necessary export authorizations required.

• Analytic modeling and programming skills in common languages

• Demonstrated experience in publishing and presenting research

Qualifications We Prefer:

• Adaptability and the ability to thrive in a collaborative environment

• Excellent communication skills, informal and formal presentation skills, and ability to foster positive relationships with internal and external partners

• Ability to manage uncertain requirements, formulate a problem from ill-defined needs, develop approaches to solve problems, and recognize when additional subject matter expertise is needed

• Experience developing externally funded programs with relevance to a particular research agenda

• Background in military operations analysis and wargaming

EEO/AAP Statement

We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

RTX Corporation 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 Systems, Pratt & Whitney, and Raytheon. Its 185,000 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, VA.

To realize our full potential, RTX is committed to creating a company where all employees are respected, valued and supported in the pursuit of their goals. We know companies that embrace diversity in all its forms not only deliver stronger business results, but also become a force for good, fueling stronger business performance and greater opportunity for employees, partners, investors and communities to succeed.

The following position is to join our RTX Corporate, Enterprise Services, Research Center or BBN team:

What We Offer: Whether you’re just starting out on your career journey or are an experienced professional, we offer a robust total rewards package with compensation; healthcare, wellness, retirement and work/life benefits; career development and recognition programs. Some of the benefits we offer include parental (including paternal) leave, flexible work schedules, achievement awards, educational assistance and child/adult backup care.

Requires advanced knowledge of work area typically obtained through advanced education combined with experience. May have practical knowledge of project management. Practical to substantial knowledge of RTX projects, programs or systems with the ability to make enhancements and leverage in daily work.

Typically requires:

A University Degree or equivalent experience and minimum 5 years prior relevant experience, or An Advanced Degree in a related field and minimum 3 years experience

Engineering/Other Technical Positions:

Typically requires a degree in Science,Technology, Engineering or Mathematics (STEM) and a minimum of 5 years of prior relevant experience unless prohibited by local laws/regulations.

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.