Date Posted:2026-05-18
Country:United States of America
Location:US-AZ-TUCSON-849 ~ 1151 E Hermans Rd ~ BLDG 849 (External Site)
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: DoD Clearance: Secret
Security Clearance Status: Ability to obtain INTERIM U.S. government issued security clearance is required prior to start date
The Processing, Guidance and Controls (PG&C) Center within the Systems Engineering and Test Capabilities Discipline consists of Guidance, Navigation and Control; Signal Processing; and Modeling, Simulation, and Analysis disciplines for Effectors.
The Signal Processing team is seeking
Systems Engineer II - Signal Processing engineers to join our PG&C Center in Tucson, AZ.
As the
Systems Engineer II - Signal Processing, you will collaborate in the design, development, prototyping, integration, testing, and performance assessment of radio frequency (RF) or electro-optical / infrared (EO/IR) algorithms and models. Used across our products and new business initiatives, signal processing algorithms extract and exploit sensor signals to be used for calibrating and de-noising raw sensor data; detecting, acquiring, tracking, and classifying objects of interest; and sensor fusion. This is an onsite position located in Tucson, AZ.
What You Will Do- You will act as an established and productive professional with theoretical to advanced knowledge of signal processing to support development, execution, and completion of difficult and sometimes complex missile systems program objectives.
- You will use and modify simulations for the design, development, prototyping, integration, testing, and performance assessment of signal processing algorithms and models.
- You will participate in engineering lab environments to test, verify, and validate sensor models and signal processing algorithm performance in accordance with requirements.
- You will focus on integration of algorithms into hardware and collaborate in all development phases from program start-up to live-fire testing, supporting design reviews, peer reviews, and technical briefings to parties within and outside your own discipline.
Qualifications You Must Have- Typically requires a Bachelor's Degree in Science, Technology, Engineering, or Mathematics (STEM) and a minimum of 2 years of relevant prior experience
- Experience with the C programming language, or Object-Oriented Programming experience with the C++, C#, or Java programming languages
- Experience with algorithm design, implementation, analysis, testing, or optimization
- Ability to obtain and maintain an Interim Secret U.S. government issued Security Clearance is required prior to start date with the ability to obtain special program access after start.
Qualifications We Prefer- Advanced Degree in Electrical Engineering, Computer Engineering, Physics, or Applied Math
- Experience with missile systems applications supporting customer programs
- Signal processing experience in the RF, EO/IR, sonar, or acoustic domains
- Experience with version control tools such as Azure DevOps and Git
- Proficiency in using MATLAB or Python for analysis of data sets
- Strong communication skills, capable of presenting analysis to technical and non-technical audiences.
- Experience with hardware/software integration
- Ability to interface with adjacent engineering disciplines such as Guidance, Navigation, and Control; Software Engineering; Systems Engineering; or Hardware Engineering
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 is 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 68,900 USD - 131,100 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.
