Senior AI/ML Algorithms Systems Engineer

RTX•Plano, TX

5d•Onsite

About The Position

Raytheon is seeking a Senior Systems Engineer specializing in AI/ML algorithms to support advanced aerospace sensor programs. You will provide technical expertise and leadership across multiple programs and Internal Research and Development (IRAD) efforts within Advanced Sensor Programs. This position is part of the Systems Engineering and Test Capabilities Center in the Airborne Surveillance RF organization. This is an onsite role in Plano, TX.

Requirements

Typically requires a Bachelor's Degree in Science, Technology, Engineering or Math (STEM) and minimum 5 years of relevant experience
Experience in AI/ML and one or more of the following areas: Signal Processing Algorithms or Models, Image Processing Algorithms or Models, Detection Theory
Knowledge developing and implementing AI/ML signal processing algorithms for airborne surveillance applications, including signal and image processing, physics-constrained modeling, digital communications, or detection and estimation theory
Experience using software change management tools, version control systems, and established software development processes
Active and transferable U.S. government issued DoD Secret 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

Active DoD Top Secret clearance
Advanced degree in Science, Technology, Engineering or Mathematics (STEM preferred)
Realtime programming for embedded or mission critical systems
Programming experience in C or C++, and hands on experience using MATLAB or Python for data analysis.
AI/ML experience with Anaconda
Mathematical modeling and analytical problem-solving skills
UNIX/Linux environments

Responsibilities

Be a member of the leadership team and manage AI/ML projects on Algorithms team of Advanced Sensor Programs
Perform system level performance analysis to evaluate and optimize advanced airborne sensor capabilities
Develop, refine, and analyze AI/ML algorithms to support mission-critical aerospace applications
Conduct trade studies to compare technical approaches and guide engineering decisions
Build statistical models and performance predictions for complex, multidisciplinary systems
Execute detailed data analyses following Raytheon engineering processes and best practices
Participate in formal and informal peer reviews; identify, track, and resolve technical issues
Provide clear, timely task status updates and deliver high quality work products to the chief engineer
Interface daily with engineering teammates, other team leads, and cross-functional partners to ensure technical alignment
Support customer and program presentations by contributing technical content and insights
Collaborate with both internal teams and external stakeholders to drive successful program outcomes