Principle Engineer, Data Analytic Methods (Onsite)

RTX•Dulles, VA

2d•$118,300 - $224,900•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. Raytheon is seeking an experienced Electrical or Computer Engineer to grow our work in advanced data analytics specifically towards Intelligence, Surveillance, and Reconnaissance applications. Successful applicants should demonstrate the ability to work in small teams, develop training curriculums, and help grow early career engineers in Artificial Intelligence, Machine Learning, Probabilistic/Stochastic, and advanced signal processing topics.

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.
Signal Processing Stochastic Methods or Probabilistic Modeling etc
AI/ML Application experience in Radio Signal Classification or similar
The ability to obtain and maintain a U.S. government issued Top Secret SCI security clearance is required after start.
U.S. citizenship is required, as only U.S. citizens are eligible for a security clearance.

Nice To Haves

Academic credentials/experience required in instruction of engineering or computer science related topics to help develop and curate AI/ML training curriculum.
Curriculum development (academic or in industry)
Programming Language Experience in Python, C++ and Java
High performance computing
Advanced Degree Preferred
Demonstrated academic instruction background (Lecturer/Graduate Teaching Assistant)

Responsibilities

Guide our AI/ML development program to grow AI/ML skills in our engineering workforce.
Develop, oversee, and collaborate on Intelligence, Surveillance, and Reconnaissance methods across multiple observable types: imagery, radar, and radio frequency data.
Apply statistical and AI/ML methods to ISR problems.
Develop models of payload models based on knowledge of radio frequency hardware and computer hardware (BSEE/Computer Engineering background desired).