Sr. Systems Engineer - RF Signal and Sensor Modeling Engineer at RAYTHEON TECHNOLOGIES CORPORATION

, Ohio, United States -

Full Time

Start Date

Immediate

Expiry Date

06 Mar, 26

Salary

164000.0

Posted On

06 Dec, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

C++, Python, MATLAB, UNIX, Linux, Radar Processing, Signal Processing, Energy Transport, Radar Physics, Discrimination Algorithms, OpenGL, CUDA, Electronic Warfare, AI/ML, Real-Time Programming, Software Change Management

Industry

Aviation and Aerospace Component Manufacturing

Description

Date Posted: 2025-12-05 Country: United States of America Location: AZ204: RMS Rita Road Bldg 9020 9000 South Rita Rd Building 9020, Tucson, AZ, 85747 USA 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: DoD Clearance: Secret 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. Raytheon engineers develop the next generation of defense technologies that support our military and protect our nation and allies. We are the world’s leader in developing cutting edge defense technologies through simulation-driven virtual environments. Our software products empower the next generation of innovative weapons systems and advanced AI/ML solutions. We’re looking for Sr. Systems Engineer - RF Signal and Sensor Modeling Engineers who enjoy solving complex problems, engaging in a dynamic team environment, and are eager to learn. As a Sr. Systems Engineer - RF Signal and Sensor Modeling Engineer, you will work on a close-knit team to create advanced, physics-based modeling solutions in a DoD Space. You will develop key technologies in the RF domain to help engineers grasp the most complex aspects of energy transport, enabling the design and test of tomorrow’s artificial intelligence algorithms and hardware solutions. You will deploy cutting-edge technologies, leverage your software development skills and collaborate with your Signal and Sensor Modeling peers. This is an Onsite role in Tucson, AZ. What You will Do You will champion novel solutions for advanced modeling techniques. You will develop new C++ models in an extensible and maintainable fashion. You will deploy Radio Frequency (RF) phenomenology and advanced physics concepts in software implementation. You will enable our customer’s success through adoption and utilization of modeling solutions. You will work efficiently inside an established software product, across programming languages, and technical environments. You will research and develop novel RF modeling solutions. You will coordinate with multiple development teams to prioritize and solve complex software and physics problems. You will mentor and share RF expertise with your team. Qualifications You Must Have Typically requires a Bachelor’s degree in Engineering, Science, Physics, Mathematics, or a related STEM degree and a minimum 5 years of prior relevant experience Experience applying object-oriented software design and programming in C or C++ Experience using Python or MATLAB for evaluation of data sets Experience with UNIX / Linux or Apple OS or Windows DOS command line Experience in radar processing, Imaging RF systems, energy transport, radar physics, signal processing, and/or discrimination algorithms The ability to obtain and maintain a U.S. government issued Interim Secret Security Clearance is required prior to start date with the ability to obtain program access after start. U.S. citizenship is required, as only U.S. citizens are eligible for a security clearance. Qualifications We Prefer 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, or estimation theory, or AI/ML and training techniques Experience with Real-time Programming, software change management tools and processes, using and augmenting Build Systems (Make / CMake), and working with large production software environment Experience interfacing with adjacent engineering disciplines (Signal Processing, Systems Engineering, Hardware Engineering) Advanced Degree in Engineering, Science, Mathematics, or related STEM degree What We Offer Our values drive our actions, behaviors, and performance with a vision for a safer, more connected world. At RTX we value: Safety, Trust, Respect, Accountability, Collaboration, and Innovation. Relocation Eligible – relocation assistance available for this position Learn More & Apply Now! Please consider the following role type definition as you apply for this role. Onsite: Employees who are working in Onsite roles will work primarily onsite. This includes all production and maintenance employees, as they are essential to the development of our products. This position requires onsite work in Tucson, AZ: https://careers.rtx.com/global/en/raytheon-tucson,-az-location As part of our commitment to maintaining a secure hiring process, candidates may be asked to attend select steps of the interview process in-person at one of our office locations, regardless of whether the role is designated as on-site, hybrid or remote. The salary range for this role is 82,000 USD - 164,000 USD. The salary range provided is a good faith estimate representative of all experience levels. RTX considers several factors when extending an offer, including but not limited to, the role, function and associated responsibilities, a candidate’s work experience, location, education/training, and key skills. Hired applicants may be eligible for benefits, including but not limited to, medical, dental, vision, life insurance, short-term disability, long-term disability, 401(k) match, flexible spending accounts, flexible work schedules, employee assistance program, Employee Scholar Program, parental leave, paid time off, and holidays. Specific benefits are dependent upon the specific business unit as well as whether or not the position is covered by a collective-bargaining agreement. Hired applicants may be eligible for annual short-term and/or long-term incentive compensation programs depending on the level of the position and whether or not it is covered by a collective-bargaining agreement. Payments under these annual programs are not guaranteed and are dependent upon a variety of factors including, but not limited to, individual performance, business unit performance, and/or the company’s performance. This role is a U.S.-based role. If the successful candidate resides in a U.S. territory, the appropriate pay structure and benefits will apply. RTX anticipates the application window closing approximately 40 days from the date the notice was posted. However, factors such as candidate flow and business necessity may require RTX to shorten or extend the application window. 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. Privacy Policy and Terms: Click on this link to read the Policy and Terms

Responsibilities

As a Sr. Systems Engineer, you will develop advanced, physics-based modeling solutions and coordinate with multiple development teams to solve complex software and physics problems. You will also mentor team members and enable customer success through the adoption of modeling solutions.