RF Systems Engineer - Military Veterans

Date Posted:

2024-07-22

Country:

United States of America

Location:

VA111: 1300 N 17th Street, Arlington 1300 North 17th Street Suite 400, Arlington, VA, 22209 USA

Position Role Type:

Onsite

RTX BBN solves challenging problems of high importance to our customers in the Department of Defense, the Intelligence Community and Industry by rapidly prototyping systems for sensing complex physical phenomena, correlating them to events of interest, and producing high-value, actionable information from the sensed data. The team specializes in delivering networked sensor system solutions by combining a strong understanding of the underlying physics, high-fidelity modeling, simulation of complex signatures and propagation phenomenology, deep expertise in signal processing, EM and RF phenomenology, and computer science, proven capabilities in system development, and mature tools to enable rapid design cycles from theory to demonstration. We are currently searching for a highly qualified RF Systems Engineer to join our team in Arlington, VA.

What you will do:

BBN is seeking a TS-cleared systems engineer knowledgeable in the radio frequency (RF) domain to join our team of electrical engineers, physicists, and mathematicians as we build and deliver advanced prototype systems that exploit the RF spectrum. The selected candidate will be responsible for advancing research prototypes to meet customer requirements of special communication protocols to include real-time detection, filtering and tracking, array processing, and direction finding targeted to integrate with mature user operations. Candidate must have an understanding of RF propagation modeling to include link budgets, terrestrial and free-space propagation models, multipath, non-stationary propagation environments (Doppler spread), clock stability and phase noise, and target kinematics. Additional support on programs involving range-doppler radar and synthetic aperture radar is also an area of development.

Candidate will plan and supervise tasks involving 1-3 individuals for small applied research projects where we design and implement advanced signal processing algorithms in novel hardware, implement on real-time hardware, test in a lab environment, then validate in an over the-air field environment. The experienced Candidate will have the opportunity to present technical advancements to government customers.

Qualifications You Must Have

• BS degree and 5 years or MS and 3 years of experience or a PhD in Computer Science, Computer Engineering, Electrical Engineering, or relevant field


• Active Top Secret clearance required.


• Experience with Matlab, Python and/or C++ applied to signal processing challenges

Qualifications We Prefer - Familiar with all, Expert in some

• Independently executes responsibilities with limited review or supervision.


• Plans/directs/coordinates/supervises tasks and 1-2 staff within projects


• Takes proactive action to anticipate, understand, and meet program and customer needs


• Position may require some amount of overnight travel.

What We Offer

Whether you’re just starting out on your career journey or are an experienced professional, we offer a robust total rewards package with compensation; healthcare, wellness, retirement, and work/life benefits; career development and recognition programs. Some of the benefits we offer include parental (including paternal) leave, flexible work schedules, achievement awards, educational assistance and child/adult backup care.

•           Relocation Assistance available

•           This position is Onsite at our Arlington VA office

To help you achieve your goals, BBN will provide:

• A strong leadership team well-versed in government R&D.


• A collaborative and collegial environment to push state-of-the-art research.


• A diverse and technically competent pool of research scientists who are willing to mentor, listen, and help you refine your research vision and goals.


• Business development, programmatic, contracting, finance, and HR support.


• Access, through RTX, to opportunities that help transition your research and ultimately see it fielded.

The salary range for this role is 85,000 USD - 179,000 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/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or veteran status, age or any other federally protected class.

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