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Section Lead, Combat Decision Aid AIML Analysis Onsite

RTX


Job Location:

Tucson, AZ - USA

Monthly Salary: $ 204500 - 204500
Posted: 24 July 2026 (30+ days ago)
Application Deadline: 21 October 2026
Vacancies: 1 Vacancy

Job Summary

Date Posted:

Country:

United States of America

Location:

US-AZ-TUCSON-E Hermans Rd BLDG 842

Position Role Type:

Onsite

U.S. Citizen U.S. Person or Immigration Status Requirements:

Active and transferable U.S. government issued security clearance is required prior to start date. U.S. citizenship is required as only U.S. citizens are eligible for a security clearance

Security Clearance Type:

DoD Clearance: Top Secret

Security Clearance Status:

Active and existing security clearance required on day 1

At RTX the worlds largest aerospace and defense company 185000 great minds are united by purpose and inspired to make a difference solving the worlds 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.

Raytheon brings the strength of more than 100 years of experience and renowned engineering expertise to meet the needs of todays mission and stay ahead of tomorrows threat. We deliver solutions that help our nation and allies defend freedoms and deter aggression creating a safer more secure world. Join us and help shape the future of aerospace and defense.

Integrated Solutions Modeling & Architecture (ISMA) develops evaluates and implements architectural solutions addressing our customers most complex mission-critical challenges across all operational domains. We create and assess innovative concepts that meet emerging operational needs advance nextgeneration mission capabilities and shape a strategic path forward for Raytheon and our customers.

To support this mission our teams deliver flexible integration solutions across sensors effectors command and control logistics and operations. We also develop tools and methodologies that enable system-level studies and visualization aligned with customer requirements.

The Combat Decision Aid AI/ML Analysis Section Leader will oversee a team of approximately 1520 engineers supporting airborne kill chain programs. These programs encompass multidisciplinary research development and production efforts in Artificial Intelligence and Machine Learning performance meta-modeling airborne kill chain and airtoair combat analysis softwareintheloop testing and software production and quality assurance.

This role requires regular coordination with external customers industry partners subcontractors and warfighter tactics experts. Experience with highfidelity simulations is essential. The position involves substantial industry collaboration and offers high visibility with customers.

What You Will Do

  • Lead and participate in trade studies research development and implementation of machine learning-based solutions to support warfighter capability needs.

  • Lead and participate in research into advanced neural network techniques to solve real-world war fighter challenges.

  • Lead and participate in development and implementation of model-based solutions to support mission trade studies and performance simulations and ensure they meet defined requirements and functions.

  • Lead and participate in performance engineering practices and procedures to evaluate work across a wide range of intriguing computational problems.

  • Extensive interaction with Program Managers Chief Engineers and Technical SMEs.

  • Extensive interface with the customer community on a regular basis to share status issues and address programmatic concerns.

  • Oversee the direct line management activities for the section including communication performance management career development and talent acquisition.

  • Collaborate and communicate with other sections and teams.

  • Support department and directorate level initiatives.

  • Ensure employee compliance with company policies and procedures.

  • Section Leader duties account for approximately 10-20% of the employees time.


Qualifications You Must Have

  • Typically requires a degree in Science Technology Engineering or Mathematics (STEM) and a minimum of 8 years of prior relevant experience unless prohibited by local laws/regulations.

  • Experience in airborne kill chain analysis and or air-to-air effector engineering & analysis; including exposure to AI/ML or neural network analysis.

  • Experience in coordination and diplomacy skills in collaborating cross-industry including subcontractors our customers and with the warfighter.

  • Experience in the Defense industry.

  • Active and transferable U.S. government issued security clearance is required prior to start date. U.S. citizenship is required as only U.S. citizens are eligible for a security clearance.

Qualifications We Prefer

  • Advanced degree in mathematics Operations Research Computer Engineering Computer Science Physics Electrical Engineering Industrial Engineering or Aeronautical/Aerospace Engineering is preferred.

  • Experience in modeling and simulation and/or weapon system performance.

  • An active and in-scope top-secret US security clearance

  • Experience in personal leadership and interpersonal communication skills.

  • Strong verbal and written communication skills and demonstrated ability/experience to lead engineering teams.

Learn More & Apply Now

As part of our commitment to maintaining a secure hiring process candidates may be asked to attendselect 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 107500 USD - 204500 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 candidates 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 companys 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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Required Experience:

Manager


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