Date Posted:

2024-08-21

Country:

United States of America

Location:

RC1: United Tech Research Center 411 Silver Lane, East Hartford, CT, 06108 USA

Position Role Type:

Hybrid

For more than 90 years the RTX Technology Research Center (RTRC) has operated as a multidisciplinary group of experts collaborating on groundbreaking innovations. Our team includes some of the world’s leading scientists, researchers and engineers working to anticipate the discoveries destined to change everything, and they transform that research into the solutions and products that help our businesses shape the future of aerospace and defense. Our unique talent, experience and resources allow us to deliver rapid responses to critical, time-sensitive challenges and develop breakthroughs for a safer, more connected world.

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.

RTRC serves as the innovation hub for Raytheon Technologies (RTX). We conduct basic and applied research in a stimulating multi-disciplinary environment where scientists, engineers, practitioners, and subject matter experts collaborate and exchange experience. We transform that research into the solutions and products that help our businesses shape the future. 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 projects.

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:

We are looking for a highly motivated candidate eager to apply and extend the state of the art in computational mathematics and optimization enhanced by machine learning methods. 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 successful candidate will

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. Of particular interest are demonstrated skills in these areas for industrial problems.

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:

Education: Ph.D. in Mathematics, Physics, Computer Science, Operations Research or an Engineering related major.  BS in the above disciplines with 5+ years of full-time industrial experience may be considered. MS in the above disciplines with 5+ years of full-time industrial experience may be considered

Expertise 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. Strong in MATLAB, Python, or C/C++; Experience with ML libraries, CUDA, Qiskit or equivalent

Strong analytical, problem-solving, and interpersonal skills with track record of teamwork, adaptability, innovation and initiative

U.S. citizenship is required, as only U.S. citizens are eligible for a security clearance.

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.

Relocation is available

Hybrid: This role will be onsite weekly.

Additional Skills and Abilities

Strong analytical, problem-solving, and interpersonal skills with track record of teamwork, adaptability, innovation and initiative

Clear and effective communication with all levels of management, business development, researchers, and customers

Ability to focus on results in a fast-paced, dynamic team environment

Ability to work independently with limited direction and in multidisciplinary environment to accomplish project goals

The preferred candidate will look at open-ended tough problems as an opportunity to innovate and develop novel solutions

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.

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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