Edge AI/ML Engineer — Wireless Inference GPU
Listed on 2026-10-30
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IT/Tech
AI Engineer (Applied/Software), Machine Learning/ ML Engineer, Wireless / 5G
Booz Allen is seeking a Wireless and Edge AI/ML Engineer to build a converged platform for real-time wireless signal processing and AI inference on GPU hardware. You will design and optimize ML models, create data pipelines from network telemetry, and deploy containerized inference services on Kubernetes.
Responsibilities include benchmarking latency, integrating with the radio stack, and collaborating with RF and security teams to meet mission requirements in a lab environment.
For the Edge AI/ML Engineer — Real-Time Wireless Inference on GPU position at Aimlroles, we are reviewing applications now.
We invite applications for the Edge AI/ML Engineer — Real-Time Wireless Inference on GPU position located in MD, United States.
The following role is for a Edge AI/ML Engineer — Real-Time Wireless Inference on GPU with Aimlroles.
Our team is growing, and we are hiring a Edge AI/ML Engineer — Real-Time Wireless Inference on GPU in MD, United States.
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