DSP Software Engineer; On-Site

Date Posted:  Country:
United States of America

Location:

US-PA-STATE COLLEGE-5A ~ 302 Science Park Rd ~ BLDG 5A Position Role Type:
Onsite U.S. Citizen, U.S. Person, or Immigration Status Requirements:
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 Security Clearance Type: TS/SCI - Current Security Clearance Status:
Active and existing security clearance required on day 1 At RTX, the world's 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. At Raytheon, the foundation of everything we do is rooted in our values and a higher calling – to help our nation and allies defend freedoms and deter aggression. We bring 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.

Our team solves tough, meaningful problems that create a safer, more secure world.

• Contribute to the design and implementation of new signal processing capabilities.
• Join our team as a DSP Software Engineer, where you will play a key role in designing and developing software solutions that support advanced RF signal processing and wireless communication systems.
• You will collaborate with a multidisciplinary engineering team to create high-performance, real-time applications that drive mission-critical operations.
• Your contributions will directly impact the development of innovative technologies in a fast-paced and challenging environment.
• Design, develop, and maintain software applications for RF signal processing and wireless communication protocols.
• Develop real-time signal processing applications using Python and C++ within Linux environments.
• Build and enhance X-Midas applications, primitives, macros, and data processing tools.
• Create intuitive graphical user interfaces using PyQt for engineering and data analysis applications.
• Develop and optimize multi-threaded applications for high-throughput data processing.
• Implement and improve signal detection, filtering, and frequency tuning capabilities.
• Design software to interface with relational databases, including MySQL.
• Automate signal processing toolsets within high-performance computing infrastructures.
• Support testing, troubleshooting, and validation of hardware/software systems.

• Typically requires a Bachelor’s degree in Electrical Engineering or a related technical field and a minimum of 5 years of experience.
• Experience in programming with Python and C++.
• Experience developing software in Linux environments.
• Experience with Digital Signal Processing (DSP) and RF communication systems.
• Experience with object-oriented software design and development.
• Experience developing graphical user interfaces using PyQt or Qt.
• Experience with multi-threaded application development.
• Experience working with databases such as MySQL.
• Active and transferable U.S. government-issued TS/SCI security clearance is required prior to start date.
• U.S. citizenship is required, as only U.S. citizens are eligible for a security clearance.

• Experience with X-Midas development.
• Experience developing real-time data processing applications.
• Familiarity with encryption/decryption technologies.
• Experience optimizing software performance.
• Experience with Tensor Flow or other machine learning applications.
• Experience with Kubernetes,…