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

RTX • Tucson, AZ

2d • Onsite

About The Position

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

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.
• 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 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.

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.
• 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.

Benefits

• 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.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 5,001-10,000 employees