Airborne Kill Chain Analysis Section Leader/Manager Systems Engineer (Onsite)

Date Posted:

2026-04-07

Country:

United States of America

Location:

US-AZ-TUCSON-805A ~ 1151 E Hermans Rd ~ BLDG 805A

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: Secret

Security Clearance Status:

Active and existing security clearance required on day 1

At RTX, the world 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.

Raytheon brings the strength of more than 100 years of experience and renowned engineering expertise to meet the needs of today’s mission and stay ahead of tomorrow’s 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.

The Airborne Kill Chain AI/ML Section Leader will be responsible for leading a large section of approximately 15-20 engineers who support airborne kill chain programs. These programs conduct a wide variety of multi-disciplinary research, development, and production tasks consisting of Artificial Intelligence / Machine Learning research, performance meta-model development, analysis for airborne kill chains and air-to-air combat systems, software-in-the-loop testing, software production and quality assurance. 

The section lead will conduct regular communication and coordination with external customers, industry associates, subcontractors, and warfighter tactics specialists. 

This position is onsite in Tucson, AZ

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.

• 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 employee’s 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.

• 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 with AI/ML or neural networks strongly preferred.

• Experience in personal leadership and interpersonal communication skills.

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

What We Offer

• Our values drive our actions, behaviors, and performance with a vision for a safer, more connected world. At RTX we value: Trust, Respect, Accountability, Collaboration, and Innovation.

Learn More & Apply Now!

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

• This position requires security clearance. DCSA Consolidated Adjudication Services (DCSA CAS), an agency of the Department of Defense, handles and adjudicates the security clearance process. More information about Security Clearances can be found on the US Department of State government website here: https://www.state.gov/m/ds/clearances/c10978.htm 

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 107,500 USD - 204,500 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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