Real-Time Software Engineer

Join a culture of empowerment and connectivity.

Learn the skills you need to accelerate your career.

Discover benefits that your life and work.

Build mission-ready tech that protects the nation.

Are you excited to apply RF theory to critical national security missions? Your expertise in RF digital signal processing software development will be critical to integrate, test, and evaluate RF software applications. Apply core principles, theories, and concepts to provide effective solutions for practical applications. Solve complex technical problems and deliver innovative solutions. Operate with substantial independence and provide oversight or mentorship for your team’s technical competencies.

Collaborate effectively with minimal supervision, overseeing and mentoring junior employees as needed.

This is a hands-on engineering role focused on real-time software, including embedded systems, distributed systems, and hardware-software integration. You will work across software applications for RF applications which require and understanding of embedded software, firmware, distributed software, and machine learning to successfully execute. You will be debugging at every layer, from software behavior to system-level interactions in deployed hardware.

Join us. The world can't wait.

6+ years of experience with software development languages, including Python, C, or C++

Experience with the design, development, and testing of real-time software

Experience with microservice architectures and tools such as Kubernetes or Docker, and optimizing applications for distributed environments

Experience using Agile processes and tools, including Jira or Confluence, and using version control, including Git Hub

Experience developing software and firmware for embedded systems, such as SCPI, Ethernet, and Serial integration

Ability to work in a team environment to brainstorm and innovate new ideas

Ability to obtain a TS/SCI clearance

Bachelor's degree in a STEM field

Experience leading and managing small to medium-sized engineering, integration, and testing projects

Experience using Windows and Linux systems; experience porting software from Windows to Linux, including compiling and cross-compiling libraries as needed

Experience with machine learning packages and building and testing neural network architectures using Tensor Flow, Keras, or Py Torch

Experience with firmware development languages such as VHDL, Verilog, or Core Fire

Experience with RF theory, software defined radios, Low noise amplifiers

TS/SCI clearance

Master's degree in a STEM field

Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information.

Skills Assessment As part of Booz Allen’s skills first hiring process, candidates must complete the required skills assessment to ensure they meet the Basic Qualifications for this role. Candidates must complete the assessment and meet the minimum proficiency threshold to continue in the hiring process.

At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care. Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values. Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen’s benefit programs.

Individuals that do not meet the threshold are only eligible for…