The Opportunity:  

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.

You Have:

• 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 GitHub

• 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

Nice If You Have:

• 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 UI development, including Javascript, Rust, Angular, React

• Experience with machine learning packages and building and testing neural network architectures using TensorFlow, Keras, or PyTorch

• Experience with firmware development languages such as VHDL, Verilog, or CoreFire

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

• TS/SCI clearance

• Master's degree in a STEM field

Clearance:

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

Compensation

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 select offerings, not inclusive of health benefits. We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Benefits page.

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, whether it occurs in person or virtually. 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 facility frequently, in alignment with leadership expectations and the needs of the role. You may also be required to work from or visit a customer facility.

• Onsite: If this position is listed as onsite, work will primarily be performed at a Booz Allen office or 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.