Senior Research Engineer – Agile Design and Advanced Manufacturing

Date Posted:

2025-08-16

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:

U.S. citizenship is required, as only U.S. citizens are authorized to access information under this program/contract.

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:

Job Responsibility

The RTX Technology Research Center (RTRC) is seeking qualified applicants for the position of Senior Engineer – Agile Design and Manufacturing. The candidate will join the Digital Manufacturing and Optimization Team, which specializes in the development and demonstration of new process models and optimization tools, advanced product design techniques, manufacturing processes, and digital thread in manufacturing.  The individual will work with the team in a fast-paced R&D environment alongside leading scientists and engineers from across RTRC and the greater RTX organization (including Collins Aerospace, Pratt and Whitney, and Raytheon) to conceive, develop, and demonstrate scalable agile manufacturing technologies for the next generation of aerospace and defense platforms.

What You Will Do

• Will work at the intersection of design, advanced manufacturing, qualification, robotics/automation, and process modeling to redefine how RTX designs and delivers its products.

• The industry is in the middle of a revolution where designs must be adapted to meet changing mission needs and then fabricated rapidly at scale. To address these needs, the team is linking mission profiles to unitized part and system features using algorithmically driven design tools like implicit geometry modeling.

• Additive and other advanced manufacturing techniques are being leveraged to create hardware. 

• Production will be distributed close to the point of need and automated from assembly through inspection. 

• Computational process models are being developed and deployed to understand local material quality to accelerate qualification.

• Work in a cross-disciplinary environment to develop technology for eventual transition into the RTX business units.

• Contributing to ongoing research programs and grow into a role of leadership over the conception, pursuit, and execution of projects.

• Constant learning and desire to not only develop, but to implement and deploy new technologies, are a must.

Qualifications You Must Have

• Ph.D. in Mechanical Engineering / Aerospace Engineering / Manufacturing Engineering / Industrial Engineering / Materials Science & Engineering or a related field.

• U.S. Citizenship required

The candidate must have experience with one or more advanced manufacturing methods including but not limited to:

• Additive manufacturing (powder bed fusion, directed energy deposition, etc.), welding, joining, robotic forming or assembly, cold spray, hybrid manufacturing, machining, forming, casting, etc.

The candidate must also have proficiency with two or more of the following:

• Design tools such as traditional CAD (e.g. NX, Creo) and/or emerging methods such as implicit geometry modeling (e.g. nTop, Inspire)

• Programming for data processing and scientific computing (e.g. Python, Matlab, C++)

• Structural and/or multi-physics finite element analysis (e.g. Abaqus, Ansys, Comsol, or open-source packages) or other numerical simulation method (finite difference, finite volume, discrete element method etc.) especially for modeling of advanced manufacturing processes

• Generative design such as topology optimization or Artificial Intelligence (AI)/Machine Learning (ML)-based approaches

• Robotics and/or automation in manufacturing

• Physics-based understanding of material composition-p