Wireless Network Engineer

Experience developing modular, service‑based wireless and RF applications using microservices, well‑defined API specifications, and distributed network‑processing frameworks that support scalable, resilient wireless and spectrum‑aware operations

Experience with orchestration and containerized deployments, such as Docker, Kubernetes, or serverless platforms, to rapidly field wireless prototypes, automate scaling of network functions, and ensure reliable delivery of RF and mission‑network services in contested or degraded environments

Experience applying cloud technologies and modern data‑engineering techniques to host, process, and fuse high‑volume wireless, RF, and electromagnetic‑sensing data to support real‑time analytics, adaptive routing, and prototype network capability development

Knowledge of advanced analytics, artificial‑intelligence and machine‑learning workflows, and disciplined MLOps pipelines that enable intelligent spectrum decision making, wireless performance prediction, and dynamic adaptation to RF interference or jamming

Possession of excellent verbal and written communication skills for explaining wireless architectures, RF networking concepts, and EW/EMSO‑relevant design decisions, and for delivering capability demonstrations to mission and technical stakeholders

TS/SCI clearance

Master’s degree in Computer Science or a STEM field

CompTIA Security+ certification

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

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.

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.

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.