Raytheon
Sr. Systems Engineer - RF Signal and Sensor Modeling Engineer
Raytheon, Tucson, Arizona, United States, 85718
Sr. Systems Engineer – RF Signal and Sensor Modeling Engineer
Join Raytheon to apply for the
Sr. Systems Engineer – RF Signal and Sensor Modeling Engineer
role. Raytheon brings more than 100 years of engineering expertise to develop defense technologies that support our military and protect allies. Our team solves tough, meaningful problems that create a safer, more secure world.
Location AZ204: RMS Rita Road Bldg 9020 9000 South Rita Rd, Tucson, AZ 85747, USA
Security Clearance & Eligibility U.S. citizenship is required. An active and transferable DoD Secret clearance is required prior to the start date. Candidates must be able to obtain program access after start.
What You Will Do
Champion novel solutions for advanced modeling techniques.
Develop new C++ models in an extensible and maintainable fashion.
Deploy Radio Frequency (RF) phenomenology and advanced physics concepts in software implementation.
Enable customer success through adoption and utilization of modeling solutions.
Work efficiently inside an established software product across programming languages and technical environments.
Research and develop novel RF modeling solutions.
Coordinate with multiple development teams to prioritize and solve complex software and physics problems.
Mentor and share RF expertise with your team.
Qualifications – Must Have
Bachelor’s degree in Engineering, Science, Physics, Mathematics, or a related STEM field and a minimum of 5 years of relevant experience.
Experience applying object‑oriented software design and programming in C/C++.
Experience using Python or MATLAB to evaluate data sets.
Experience with UNIX/Linux, Apple OS, or Windows command lines.
Experience in radar processing, imaging RF systems, energy transport, radar physics, signal processing, and/or discrimination algorithms.
Ability to obtain and maintain a U.S. government‑issued Interim Secret Security Clearance before the start date; U.S. citizenship is required.
Qualifications – Preferred
Experience with OpenGL, CUDA, or other GPU‑accelerated languages/architectures and scene generation/sensor modeling technologies.
Experience with electronic warfare modeling, developing signal‑processing algorithms for missile applications, signal & image processing, digital communications, estimation theory, or AI/ML training techniques.
Experience with real‑time programming, software change‑management tools, and build systems (Make/CMake) in large production environments.
Experience interfacing with adjacent engineering disciplines (Signal Processing, Systems Engineering, Hardware Engineering).
Advanced degree in Engineering, Science, Mathematics, or related STEM field.
Benefits & Compensation
Salary range: $82,000 – $164,000 USD.
Medical, dental, vision, life insurance, short‑term and long‑term disability, 401(k) match, flexible spending accounts.
Flexible work schedules, employee assistance program, employee scholar program, parental leave, paid time off, holidays.
Annual short‑term and/or long‑term incentive compensation programs (dependent on level and agreement).
Relocation assistance available.
RTX values: Safety, Trust, Respect, Accountability, Collaboration, Innovation.
EEO Statement RTX is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or veteran status, or any other applicable state or federal protected class. RTX provides affirmative action in employment for qualified individuals with a disability and protected veterans in compliance with Section 503 of the Rehabilitation Act and the Vietnam Era Veterans’ Readjustment Assistance Act.
Additional Information As part of our commitment to maintaining a secure hiring process, candidates may be asked to attend select interview steps in‑person at one of our office locations, regardless of whether the role is designated as onsite, hybrid or remote.
Application period: approximately 40 days from posting, but may be shortened or extended at RTX’s discretion.
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Sr. Systems Engineer – RF Signal and Sensor Modeling Engineer
role. Raytheon brings more than 100 years of engineering expertise to develop defense technologies that support our military and protect allies. Our team solves tough, meaningful problems that create a safer, more secure world.
Location AZ204: RMS Rita Road Bldg 9020 9000 South Rita Rd, Tucson, AZ 85747, USA
Security Clearance & Eligibility U.S. citizenship is required. An active and transferable DoD Secret clearance is required prior to the start date. Candidates must be able to obtain program access after start.
What You Will Do
Champion novel solutions for advanced modeling techniques.
Develop new C++ models in an extensible and maintainable fashion.
Deploy Radio Frequency (RF) phenomenology and advanced physics concepts in software implementation.
Enable customer success through adoption and utilization of modeling solutions.
Work efficiently inside an established software product across programming languages and technical environments.
Research and develop novel RF modeling solutions.
Coordinate with multiple development teams to prioritize and solve complex software and physics problems.
Mentor and share RF expertise with your team.
Qualifications – Must Have
Bachelor’s degree in Engineering, Science, Physics, Mathematics, or a related STEM field and a minimum of 5 years of relevant experience.
Experience applying object‑oriented software design and programming in C/C++.
Experience using Python or MATLAB to evaluate data sets.
Experience with UNIX/Linux, Apple OS, or Windows command lines.
Experience in radar processing, imaging RF systems, energy transport, radar physics, signal processing, and/or discrimination algorithms.
Ability to obtain and maintain a U.S. government‑issued Interim Secret Security Clearance before the start date; U.S. citizenship is required.
Qualifications – Preferred
Experience with OpenGL, CUDA, or other GPU‑accelerated languages/architectures and scene generation/sensor modeling technologies.
Experience with electronic warfare modeling, developing signal‑processing algorithms for missile applications, signal & image processing, digital communications, estimation theory, or AI/ML training techniques.
Experience with real‑time programming, software change‑management tools, and build systems (Make/CMake) in large production environments.
Experience interfacing with adjacent engineering disciplines (Signal Processing, Systems Engineering, Hardware Engineering).
Advanced degree in Engineering, Science, Mathematics, or related STEM field.
Benefits & Compensation
Salary range: $82,000 – $164,000 USD.
Medical, dental, vision, life insurance, short‑term and long‑term disability, 401(k) match, flexible spending accounts.
Flexible work schedules, employee assistance program, employee scholar program, parental leave, paid time off, holidays.
Annual short‑term and/or long‑term incentive compensation programs (dependent on level and agreement).
Relocation assistance available.
RTX values: Safety, Trust, Respect, Accountability, Collaboration, Innovation.
EEO Statement RTX is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or veteran status, or any other applicable state or federal protected class. RTX provides affirmative action in employment for qualified individuals with a disability and protected veterans in compliance with Section 503 of the Rehabilitation Act and the Vietnam Era Veterans’ Readjustment Assistance Act.
Additional Information As part of our commitment to maintaining a secure hiring process, candidates may be asked to attend select interview steps in‑person at one of our office locations, regardless of whether the role is designated as onsite, hybrid or remote.
Application period: approximately 40 days from posting, but may be shortened or extended at RTX’s discretion.
#J-18808-Ljbffr