Remote Wireless AI/ML Engineer: Edge & Real-Time Inference

Booz Allen Hamilton; Maryland; Presencial; USD 99.000 - 225.000; Jornada completa

Descripción de la vacante

Booz Allen Hamilton is hiring an AI/ML Engineer to build a converged platform for real-time wireless signal processing and AI inference on GPU-accelerated hardware. You will develop, optimize, and deploy models alongside live network workloads in a lab environment.

The role covers data pipelines, model training/benchmarking, GPU-optimized inference, and containerized deployment on Kubernetes with NVIDIA tools. A Secret clearance is preferred and required for certain programs.

Formación

• 3+ years experience training and evaluating ML models with PyTorch or TensorFlow
• 3+ years Python software development with production-quality code
• Experience optimizing neural networks for real-time inference (latency/throughput)
• Experience with GPU computing (CUDA/cuDNN) in Linux environments
• Experience deploying ML models as services in Docker/Kubernetes and building data pipelines
• Ability to obtain a Secret clearance
• Education or equivalent years of AI/ML/Automation experience per listed degree options

Responsabilidades

• Design, train, and evaluate ML models for wireless networks using telemetry and RF data
• Build data pipelines ingesting telemetry and labeling data into training datasets
• Optimize models for real-time GPU inference and benchmark against targets
• Package and deploy models as containerized services on Kubernetes with Triton
• Develop AI-driven network applications and validate end-to-end in the lab
• Instrument the platform with MLOps tooling and CI/CD pipelines
• Benchmark GPU resource contention between signal processing and AI workloads
• Maintain technical docs including model cards and deployment procedures
• Collaborate with network, RF, and cybersecurity engineers to meet mission requirements
• Brief results to government stakeholders

Conocimientos

ML model training

PyTorch

TensorFlow

Python

GPU computing

Agile

Clearance readiness

Educación

Bachelor's degree in STEM

Master's degree in STEM

8+ years AI/ML/Automation experience without degree

Herramientas

Docker

Kubernetes

NVIDIA Triton

ONNX/TensorRT

CUDA/cuDNN

Descripción del empleo

Booz Allen Hamilton is hiring an AI/ML Engineer to build a converged platform for real-time wireless signal processing and AI inference on GPU-accelerated hardware. You will develop, optimize, and deploy models alongside live network workloads in a lab environment.

The role covers data pipelines, model training/benchmarking, GPU-optimized inference, and containerized deployment on Kubernetes with NVIDIA tools. A Secret clearance is preferred and required for certain programs.