About the role What if you could use your electrical and computer engineering skills to develop next-generation electromagnetic spectrum and electronic warfare capabilities as part of a focused, forward-looking R&D organization? As a Digital Signal Processing (DSP) engineer, you understand the power behind complex systems and complex data in the RF and signals domain. That knowledge is key when it comes to designing and implementing digital signal processing for RF sensing, detecting, and responding systems. We’re looking for a computer engineer with DSP experience who can use their skills to develop and demonstrate new and novel capabilities to guide the Army toward new technical solutions. Our areas of interest include signal receive and blind demodulation techniques, signal isolation and identification, waveform, complex signal generation, and adaptive techniques. Our team develops initial implementations of emerging ideas to address Electromagnetic Spectrum Battle Management. That’s why we need you, a computer engineer with a solid background in signal processing, to help us implement radio communication capabilities. You’ll work in a lab environment to develop functionality for demonstration and delivery to our client. You’ll directly impact the future of electromagnetic spectrum and electronic warfare by demonstrating state-of-the-art techniques to guide the client's understanding of what is possible. This is a chance to use your DSP engineering skills and understanding of RF communications while gaining experience with software defined radios (SDRs). Join us and take on exciting challenges in support of our DoD clients as we drive R&D and help define future capabilities. Join us. The world can’t wait. Requirements Experience with wireless communications systems and signal processing theory and application Experience with Linux, C, C++, or Rust Experience with Software Defined Radio (SDR) toolkits and standards such as GNUradio and Ettus UHD Experience with Signal Processing Techniques and RF Theory Experience with embedded software development, code optimization, and multi-threading Knowledge of DSP and DSP algorithm development Ability to travel regionally up to 25% of the time Ability to obtain a Secret clearance Bachelor’s degree in Electrical or Computer Engineering Nice If You Have Experience with Machine Learning techniques, implementation, and signal classification Experience with ARM Microprocessors Experience with RF equipment and testbeds, spectrum analyzers, and signal generators Experience with signal, waveform, and technique development tools such as MATLAB or LabView Experience with Git and the Agile Software Development process Experience with FPGAs and VHDL or Verilog Top Secret clearance Clearance Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information. 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Salary at Booz Allen is determined by various factors, including but not limited to location, the individual’s particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements. The projected compensation range for this position is $86,800.00 to $198,000.00 (annualized USD). The estimate displayed represents the typical salary range for this position and is just one component of Booz Allen’s total compensation package for employees. This posting will close within 90 days from the Posting Date. Identity Statement As part of the hiring process, we will ask you to complete an identity verification process that leverages advanced biometrics and artificial intelligence to ensure authenticity and protect against identity fraud. You are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud. Candidate AI Usage Policy AI is a part of our daily work at Booz Allen, and we are committed to the responsible and ethical use of AI tools. However, we want to ensure a fair candidate process based on your own skills and knowledge. As part of this commitment, the use of artificial intelligence (AI) or other tools to assist with responses during interviews (whether in-person or virtual) is prohibited unless permission is explicitly provided. Work Model Our people-first culture prioritizes the benefits of collaboration. To support engagement and effective communication, employees working virtually are generally expected to have their cameras on during meetings. Remote: If this position is listed as remote, there may still be occasions when you are required to work in person at a Booz Allen or customer facility. Hybrid: If this position is listed as hybrid, you will be expected to work from a Booz Allen or customer facility, in alignment with your leadership's expectations and the needs of the role. Onsite: If this position is listed as onsite, work will primarily be performed full-time at a customer facility, where employees will collaborate directly with colleagues and customers as required by the role. Commitment to Non-Discrimination All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local, or international law.
