Section Lead, Combat Decision Aid AI/ML Analysis Onsite

RTX•Tucson, AZ

13d•Onsite

About The Position

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. 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.

Requirements

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.

Nice To Haves

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.

Responsibilities

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.