Date Posted:
2025-08-18
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-processing-microstructure-property relationships with desire to engage with the qualification process
Qualifications We Prefer
Experience with qualification of additive/advanced manufacturing processes and parts in a highly regulated industry
Large-format additive manufacturing including but not limited to multi-laser powder bed fusion and directed energy deposition
Design for additive manufacturing (DFAM) and/or modification for additive manufacturing (MFAM), especially as applied to part unitization at large physical scales
AI/ML-aided computational modeling of physical systems
Understanding of inspection methodologies for a variety of manufacturing processes, particularly as they relate to quality validation and qualification
Rapid proto@type development
Research-minded nature, ability and desire to advance the state-of-art, openness to learning skills outside of the candidate's core discipline
Desire to generate new ideas and create campaigns to secure funding
Exceptional communication skills and capable of interacting with RTRC senior management, external customers, as well as members of the technical staff
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 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.
Privacy Policy and Terms:
Click on this link (http://www.rtx.com/privacy/Job-Applicant-Privacy-Notice) to read the Policy and Terms
Raytheon Technologies 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.
