Airborne Kill Chain Analysis Section Leader/manager Systems Engineer (onsite)

Airborne Kill Chain Ai/Ml Section Leader

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.