What You Will Do
Perform system level performance analysis to evaluate and optimize advanced airborne sensor capabilities
Develop, refine, and analyze 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
Qualifications You Must Have
Typically requires at least a Bachelor’s degree in Science, Technology, Engineering or Mathematics (STEM) discipline and a minimum of 5 years of relevant experience in one or more of the following areas: Signal Processing Algorithms or Models, Image Processing Algorithms or Models, Detection Theory or Machine Learning.
Knowledge developing and implementing signal processing algorithms for airborne surveillance applications, including signal and image processing, physics-constrained modeling, digital communications, or detection and estimation theory.
Experience in UNIX/Linux environments. Programming experience in C or C++, and hands on experience using MATLAB or Python for data analysis
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
Qualifications We Prefer
Active DoD Top Secret clearance
Advanced degree in Science, Technology, Engineering or Mathematics (STEM preferred)
Mathematical modeling and analytical problem-solving skills
