
location_on5873, North Calle Grandeza, La Paloma Estates, Pima County, Arizona, 85718, United States
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.
The Effector RF Design Team at Raytheon is seeking a talented Principal Engineer to join our team in Tucson, AZ. This onsite role is designed for a leader who will shape the design and implementation of antenna, radome, and radar cross section (RCS) ranges and chambers. You will lead project teams, provide technical oversight, and work with the Engineering organization to establish technology roadmaps that enable modernization and innovation. Additionally, you will collaborate with government personnel to define and refine requirements, ensuring range and chamber compliance while providing guidance, coaching, and mentoring to employees across the business.
This position requires an active and transferable U.S. government-issued security clearance (DoD Secret) prior to your start date. U.S. citizenship is mandatory as only citizens are eligible for this clearance. The DCSA Consolidated Adjudication Services (DCSA CAS), an agency of the Department of Defense, handles and adjudicates the security clearance process.
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. RTX anticipates the application window closing approximately 40 days from the date the notice was posted, though business necessity may alter this timeline.
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.
Work model: On-site
5873, North Calle Grandeza, La Paloma Estates, Pima County, Arizona, 85718, United States
Arizona
Master of Science (MS) or PhD in electrical engineering. Significant experience simulating and/or estimating the effects of propagation, reflections, and scattering on an antenna under test (AUT) in an anechoic chamber. Experience measuring hardware for RCS. Significant experience specifying, building, and validating antenna, radome, and/or RCS ranges/chambers. Proficiency with Python, MATLAB, and/or other high-level scientific programming languages. Proficiency with high performance computing (HPC) environments and schedulers such as SLURM. Proficiency with modeling and simulation tools such as HFSS, CST, FEKO, SENTRi, and GRASP. Experience designing and testing conformal antennas. Excellent verbal and written communication skills. Demonstrated ability to manage multiple priorities from multiple sources. Strong interpersonal skills working in a team environment with positive interaction. Demonstrated ability to put forth and drive technical execution plans. Knowledgeable of management processes, such as Earned Value. Experience presenting in technical reviews. Understanding of near-field-to-far-field processing algorithms. Experience designing datalink, flight termination, telemetry, and/or GPS antenna systems. Experience being a Cost Account Manager or Integrated Product Team Lead.
Raytheon • Tucson, Arizona
Raytheon • Tucson, Arizona
Raytheon • Tucson, Arizona
Skills: Python, Matlab, Slurm, HFSS, CST, Feko, Sentr, Grasp, Earned Value, Near-Field-To-Far-Field Processing Algorithms.
Education: Bachelor's degree in STEM required with 8+ years experience; Master of Science in Electrical Engineering preferred; PhD in Electrical Engineering preferred.