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Added 6 hours ago
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U.S. citizenship is required, as only U.S. citizens are authorized to access information under this program/contract.
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RTX

Systems Engineering Methods Engineer (Onsite)

United States

The salary range for this role is 132,400 USD - 251,600 USD.

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Job details

Pay: The salary range for this role is 132,400 USD - 251,600 USD.
Experience: 10+ years of relevant experience, or an Advanced Degree with 7+ years of relevant experience
Posting language: English
Posted: Nov 2, 2026

Original job description

Date Posted:

2026-11-02

Country:

United States of America

Location:

US-CT-EAST HARTFORD-ETC ~ 400 Main St ~ BLDG ETC

Position Role Type:

Onsite

U.S. Citizen, U.S. Person, or Immigration Status Requirements: The ability to obtain and maintain a U.S. government issued security clearance is required. U.S. citizenship is required, as only U.S. citizens are eligible for a security clearance

Security Clearance Type:

DoD Clearance: Secret

Security Clearance Status:

Active and existing security clearance required after day 1

At RTX, the world's largest aerospace and defense company, 185,000 great minds are united by purpose and inspired to make a difference solving the world’s most complex problems. With our three market leading businesses, world-class operations and investments in research and development, we offer capabilities and opportunity no one else can. Together, we push the boundaries of known science and find new ways to connect and protect our world.

Pratt & Whitney is a world leader in the design, manufacture and service of aircraft engines and auxiliary power systems and has been revolutionizing modern flight for over 100 years. Join us and help shape the future of aerospace and defense.

What You Will Do:

Pratt & Whitney is seeking a highly skilled and forward‑thinking Performance and Operability Methods Engineer to help transform the company’s digital modeling ecosystem and drive enterprise adoption of next‑generation engineering methods. This role advances propulsion modeling capabilities by enhancing NPSS toolchains, optimizing PMDO workflows, and strengthening automation and CI/CD systems. The engineer will provide technical leadership in MBSE, MDAO, and digital engineering methodologies - guiding system modeling, integration, optimization, and design automation practices while partnering closely with discipline and strategy stakeholders. Responsibilities include coordinating performance and operability methods, supporting development of NPSS Kernel/EMI and Core Library features, supporting modeling across programs, and owning key processes such as the Automated Severity Grid and PSA Jenkins pipelines. The engineer will collaborate across functions to harmonize digital processes, improve modeling reliability, streamline data environments, and deploy new analytical capabilities.

The role will further contribute to innovation through support of an AI Coding Assistant initiative designed to accelerate NPSS model implementation - strengthening the broader enterprise effort to modernize, automate, and elevate propulsion‑analysis workflows.

Coordinate engine performance and operations methods tasks, ensuring alignment of engineering methods, process governance, and timely delivery of work products.
Provide PMDO process support, including method development, documentation updates, workflow optimization, and integration with broader engineering systems.
Provide NPSS System and Modeling Support to programs and customers, including model updates, debugging, performance assessments, and integration of advanced features.
Perform NPSS Tools and Core Library Development to extend analytical capabilities and support engineering-wide tool standardization.
Collaborate with cross‑functional engineering, methods, and digital teams to harmonize processes, deploy new capabilities, and support enterprise modeling initiatives.
Troubleshoot and resolve issues across modeling, automation, and data‑processing environments, driving continuous improvement and enhanced reliability.
Support development of an AI Coding Assistant acting as an LLM-based driver for NPSS model implementation

Qualifications You Must Have:

Bachelor’s degree in Science, Technology, Engineering or Mathematics (STEM)
10+ years of relevant experience, or an Advanced Degree with 7+ years of relevant experience
Experience with software development in a structured environment
Experience in systems engineering and/or enterprise tools
The ability to obtain and maintain a U.S. government issued Secret clearance

Qualifications We Prefer:

Demonstrated experience leading cross-functional engineering projects in an Agile framework
Experience with NPSS, Python, Java, JavaScript/HTML, REST APIs, Git/Github, Jenkins/Groovy, AWS, Linux/Unix Shell Scripting, Perl, Matlab/Simulink
Proficient at applying Agile and Leadership Operating Model to drive successful outcomes in evolving and ambiguous environments
Working technical knowledge of multiple P&W engineering disciplines (working knowledge: Have led or executed EKS on project)
Knowledge of P&W engineering workflows across the lifecycle (activities, work products, and handoffs within RLPM)
Experience with process modeling and analysis, systems integration, digital transformation, and/or MBSE at scale
Experience with Agile development methodologies and tools (e.g., Jira, Confluence)
Experience with project planning and oversight of projects with an enterprise wide scope of impact.
Experience with RTX-approved AI LLM and ML platforms

Learn More & Apply Now!

What is my role type?

In addition to transforming the future of flight, we are also transforming how and where we work. We’ve introduced role types to help you understand how you will operate in our blended work environment. This role is:

Onsite: Employees who are working in Onsite roles will work primarily onsite. This includes all production and maintenance workers, as they are essential to the development of our engines.

Candidates will learn more about role type and current site status throughout the recruiting process. For onsite and hybrid roles, commuting to and from the assigned site is the employee’s personal responsibility.

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 132,400 USD - 251,600 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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