Post-Doc Research Engineer in Optimization

Date Posted:

2025-11-14

Country:

United States of America

Location:

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

Position Role Type:

Hybrid

U.S. Citizen, U.S. Person, or Immigration Status Requirements:

This job requires a U.S. Person. A U.S. Person is a lawful permanent resident as defined in 8 U.S.C. 1101(a)(20) or who is a protected individual as defined by 8 U.S.C. 1324b(a)(3). U.S. citizens, U.S. nationals, U.S. permanent residents, or individuals granted refugee or asylee status in the U.S. are considered U.S. persons. For a complete definition of “U.S. Person” go here. https://www.ecfr.gov/current/title-22/chapter-I/subchapter-M/part-120/subpart-C/section-120.62

Security Clearance:

None/Not Required

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.

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

The RTX Technology Research Center (RTRC) serves as the company’s innovation hub. Our engineers, scientists and researchers anticipate the discoveries destined to change everything, and they transform that research into the solutions and products that help our businesses shape the future. We are:

Fueling innovation in the company’s businesses

Solving customers’ critical problems.

Developing breakthroughs for a safer, more sustainable and connected world.

Working with major universities and national laboratories on groundbreaking research projects.

RTRC is looking for a highly motivated individual for a post doctorate position specializing in quantum computing algorithms and applications and applied machine learning (ML)/artificial intelligence (AI) to join the Optimization team within our Intelligent and Cyber Physical Systems (ICPS) Department.

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.

The appointment is for one year in duration.

What you will do:

• Undertake both theoretical and applied research on NISQ and (early) fault-tolerant quantum computing algorithms, applications, and enabling technologies including quantum error mitigation and correction.

• Apply and extend the state-of-the-art of quantum algorithms, and hybrid classical quantum workflows to solve practical problems in areas such as quantum chemistry, material science, optimization, complex physical simulations, and machine learning.

• Implement quantum algorithms on state-of-the-art quantum simulators and hardware platforms, optimizing performance and resource usage.

• Contribute to cutting edge research at the intersection of advanced ML/AI and quantum computing to develop novel solutions and demonstrations.

• Transition novel concepts from early technology stages to a state that impacts and influences businesses and applications.

• 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:

• Requires a Ph.D. in Mathematics, Physics, Chemistry, Computer Science or a related Engineering field.

• Expertise in quantum algorithms and applications, and quantum information theory with a strong foundation in quantum computing.

• Experience in developing and deploying ML, deep learning and other advanced AI techniques in practical applications such as material discovery, scientific computing, optimization, image processing, and natural language processing.

• Software development skills, including experience with Python, C++, or other programming languages and collaborative software development tools (e.g. Git).

• Proficient in programming languages, packages and tools used in quantum computing research (e.g., Qiskit, Pennylane) and in machine/deep learning (e.g. SciPy, TensorFlow).

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

Qualifications We Prefer:

• Previous experience with practical applications in these fields.

• A record of innovation as evidenced by patent applications, contribution to government funded basic research programs, and/or high-quality journal and conference publications

• Ability to look at open-ended tough problems as an opportunity to innovate and develop novel solutions.

• 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.

• US Citizen preferred.

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.

Location: This position is Onsite in East Hartford, CT

As part of our commitment to maintaining a secure hiring process, candidates may be asked to attend select steps of the interview process in-person at one of our office locations, regardless of whether the role is designated as on-site, hybrid or remote.

The salary range for this role is 82,000 USD - 164,000 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 Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or veteran status, or any other applicable state or federal protected class. RTX provides affirmative action in employment for qualified Individuals with a Disability and Protected Veterans in compliance with Section 503 of the Rehabilitation Act and the Vietnam Era Veterans’ Readjustment Assistance Act.

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