Digital Signal Processing Electrical & Computer Engineer

Booz Allen Hamilton; Laurel (MD); On-site; USD 90,000 - 130,000; Full time

Job summary

Booz Allen Hamilton is seeking a Digital Signal Processing Electrical & Computer Engineer. In this role, you will leverage your electrical engineering skills to develop advanced capabilities in the electromagnetic spectrum and electronic warfare. You’ll work with RF systems, using DSP techniques to enhance client understanding of technology's potential.

Ideal candidates possess strong backgrounds in wireless communications and software-defined radios. Join a dynamic team and contribute to groundbreaking R&D initiatives while working with DoD clients and driving future technology advancements.

Qualifications

• 5+ years of experience with wireless communications systems and signal processing.
• Proficiency in Linux, C, C++, or Rust.
• Familiarity with Software Defined Radio toolkits such as GNUradio and Ettus UHD.

Responsibilities

• Develop and implement digital signal processing for RF systems.
• Work in a lab environment to demonstrate capabilities for clients.
• Impact future techniques in electromagnetic spectrum and electronic warfare.

Skills

Wireless communications systems

Signal processing theory and application

Linux

C/C++

Software Defined Radio

Embedded software development

DSP algorithm development

Ability to travel

Education

Bachelor’s degree in Electrical or Computer Engineering

Tools

GNUradio

Ettus UHD

MATLAB

LabView

Git

Job description

Job Number: R0240892

Digital Signal Processing Electrical & Computer Engineer

Opportunity

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.

You Have:

• 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.

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.