Senior Research Engineer in Optimization

Date Posted:

2024-11-06

Country:

United States of America

Location:

UT13: RC-CT - Corp 411 Silver Lane, East Hartford, CT, 06108 USA

Position Role Type:

Unspecified

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.

• 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.

• 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

• 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.

Relocation is available

Hybrid: This role will be onsite weekly.

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.

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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