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 Research Center team:

RTX Technologies Research Center (RTRC) is looking for a highly motivated individual for the position of research engineer specialized in large-scale computational mathematics and optimization

The Optimization Team develops and deploys advanced computational mathematics and optimization methods for complex product and system designs and efficient aftermarket services. We support all RTX business units, including both development of novel solutions for future products and solving the toughest problems with current products

What You Will Do:

• Work on transitioning novel concepts from early technology stages to a state that impacts and influences businesses and applications.
• Provide technical expertise in the areas of nonlinear dynamical systems, stochastic dynamical systems, optimization enhanced by machine learning, distributed optimization, parallel/cloud computation, quantum computing algorithms and applications, computational mathematics as developed on high performance computers.
• Lead and support externally and internally sponsored programs, writing external and internal research proposals.
• Build relationships to support developing business relationships with industry, academia, and government agencies.
• Disseminate research results through reports, conference proceedings, and peer-reviewed articles, and developing intellectual property.

Qualifications You Must Have:

• 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.
• Experience in at least one of the following areas: modeling and analysis of dynamical systems, numerical analysis, quantum computing algorithm development and optimization.
• Experience related to programming. MATLAB, Python, or C/C++; ML libraries, CUDA, Qiskit or equivalent
• U.S. Person (U.S. citizen, permanent resident, refugee or asylee) or eligible to obtain necessary export authorizations required.

Qualifications We Prefer:

• Experience with writing proposals for government-funded research, record of grants
• 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.

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.

Learn More & Apply Now!

Work Location

This is a hybrid role, eligible candidates must reside within commuting distance from East Hartford, CT.

Relocation Eligible: YES

#reempowerprogram

This role is also eligible for the Re-Empower Program. The Re-Empower Program helps support talented and committed professionals as they rebuild their capabilities, enhance leadership skills, and continue their professional journey. Over the course of the 14-week program, experienced professionals will gain paid, on-the-job experience, have an opportunity to participate in sessions with leadership, develop personalized plans for success and receive coaching to guide their return-to-work experience. Upon completion of the program, based on performance and contributions participants will be eligible for a career at RTX.

Minimum Program Qualifications:

To qualify for the RTX, Re-Empower Program, candidates should:

• Be on a career break of one or more year at time of application
• Have prior experience in functional area of interest
• Have interest in returning in either a full-time or part-time 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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