Systems Engineering Methods Engineer; Onsite

Date Posted:  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.

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 tool chains, 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.

• Bachelor’s degree in Science, Technology, Engineering or Mathematics (STEM) 10+ years of relevant…