Date Posted:2026-07-22
Country:United States of America
Location:US-AZ-TUCSON-842 ~ 1151 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
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 next-generation 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 15-20 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 air-to-air combat analysis, software-in-the-loop testing, and software production and quality assurance.
This role requires regular coordination with external customers, industry partners, subcontractors, and warfighter tactics experts. Experience with high-fidelity 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 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; 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- Clearance Information: This position requires a 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
- 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. #LI-RH2
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.
