AI RAN Engineer Intern - 5G & ML Focus

Booz Allen Hamilton

McLean (VA)

On-site

USD 53,000 - 108,000

Full time

14 days+

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Job summary

Booz Allen Hamilton is seeking an AI RAN Telecommunications Engineer Intern in McLean, VA. The intern supports architectural blueprint development for new networks and network enhancements, applying basic principles under direct supervision while working toward a Bachelor's degree in Electrical Engineering expected by 2027/2028.

Ideal candidates bring 1+ years in telecom RAN/LTE/5G, experience with AI/ML in networking, and proficiency with Python, C/C++, TensorFlow, PyTorch, ONNX, Kubernetes,

Qualifications

  • 1+ years of telecom engineering experience including RAN, LTE or 5G NR, or O-RAN systems.
  • AI/ML in networking, signal processing, or automation contexts.
  • Proficiency with Python, C/C++, TensorFlow, PyTorch, ONNX, Kubernetes; gNB simulators (OAI, srsRAN, or similar).
  • Experience with xApps/rApps, RIC platforms, and O-RAN specs.
  • Knowledge of 3GPP CU/DU architectures and RAN protocols (RRC, PDCP, RLC, MAC, PHY).
  • Ability to collaborate across engineering and product teams.
  • Scheduled to obtain a Bachelor's degree in Electrical Engineering by Spring/Fall 2027 or Spring/Winter 2028.

Responsibilities

  • Supports development of architectural blueprints for new networks and enhancements to production networks.
  • Applies basic principles, theories, and concepts; solves routine problems and refers more complex issues upward.
  • Works under direct supervision.
  • Citizenship with the United States is required due to facility security.

Skills

Telecom engineering
AI/ML in networking
Python
C/C++
TensorFlow
PyTorch
ONNX
Kubernetes
O-RAN
RAN architectures

Education

Bachelor's degree in EE

Tools

gNB simulators
OAI
srsRAN

Job description

Booz Allen Hamilton is seeking an AI RAN Telecommunications Engineer Intern in McLean, VA. The intern supports architectural blueprint development for new networks and network enhancements, applying basic principles under direct supervision while working toward a Bachelor's degree in Electrical Engineering expected by 2027/2028.

Ideal candidates bring 1+ years in telecom RAN/LTE/5G, experience with AI/ML in networking, and proficiency with Python, C/C++, TensorFlow, PyTorch, ONNX, Kubernetes,

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