Leadership Development Program – Operations, Quality Engineering Track
Listed on 2026-08-28
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Engineering
Quality Engineering -
Quality Assurance - QA/QC
Quality Engineering
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.
Discover an extraordinary opportunity to accelerate your engineering career and develop into a future operational leader Operations Leadership Development Program (OLDP)-Quality Engineering Track provides challenging, high-visibility assignments across the enterprise, allowing you to build a powerful global network. You will receive high-caliber training, professional mentoring, and frontline, hands‑on engineering experience directly on our manufacturing shop floors. This fast‑paced path expands your business acumen, sharpens your technical expertise, and prepares you to make a lasting impact on our global operations.
Actively recruiting for the next cohort and program that begins June 2027.
Complete three 8-month rotational assignments across various U.S. locations, adapting quickly to new manufacturing facilities, business units, and operational quality teams. Execute core engineering duties and technical milestones within one or more specialized quality disciplines, including Operations Quality, Supplier Quality, Regulatory Compliance, Escape Management, Continuous Improvement, and Customer/Program Quality. Participate in frontline, hands‑on shop floor assignments to identify, analyze, and resolve technical quality challenges.
Collaborate with cross‑functional teams to identify and drive performance, process safety, and product quality improvements across production environments and development labs. Support regulatory compliance audits, escape management investigations, and root‑cause analysis to ensure product integrity and minimize operational risk. Leverage engineering and data analytics tools to optimize quality planning, evaluate operational metrics, and eliminate process waste.
You Must Have Bachelor’s or Master’s degree in Mechanical Engineering, Aerospace Engineering, Industrial Engineering, or a related Science, Technology, Engineering, or Mathematics (STEM) major. Degree must be obtained by start date. Willing and able to operationally relocate to various RTX geographic locations across the United States for three distinct 8‑month program assignments. Experience using data analysis and discrete event simulation tools—such as advanced Excel (including pivot tables and macros/VBA), Minitab, PowerBI, Simio, Flex Sim, or MATLAB.
Experience applying continuous improvement methodologies and core quality tools, such as 8D structured problem solving, Corrective and Preventive Action (CAPA), Failure Mode and Effects Analysis (FMEA), Control Plans, Value Stream Mapping (VSM), Kaizen events, or 5S implementation frameworks or other relevant methods and tools. Relevant internship/co‑op or work experience in engineering, manufacturing, operations quality, production environment or related experience. Experience may be obtained through on-the-job experience, research, coursework, or projects.
We Prefer Cumulative GPA of 3.0 or higher from an ABET-accredited institution. Clear, honest, and proactive communication style with the capability to contribute constructively to cross‑functional team discussions. Quick learner with a demonstrated ability to take initiative, prioritize tasks strategically, and remain completely committed to operational objectives. Proven leadership capability paired with strong decision‑making skills and a highly collaborative mindset.
Strong analytical problem‑solver who naturally challenges existing processes and thinks critically to develop innovative…
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