Senior RAN Digital Twin & AI Simulation Lead

Parallel Wireless; Northern (KY); Hybrid; USD 140,000 - 200,000; Full time

Job summary

Parallel Wireless is seeking a hands-on wireless systems engineer to lead development of a multi-RAT digital twin for our Open RAN solution. You will evolve an LTE end-to-end simulator into a scalable platform for feature development, testing, and pre-validation.

The role covers MAC scheduling, neural channel estimation, and ML-based surrogates, working across C/C++, Python, MATLAB, and production systems. An engineering-driven culture awaits.

Qualifications

• Experience building or validating link-level, system-level simulations.
• Ability to explain model validity and limitations clearly.
• Strong programming skills in C/C++ and Python, integrating production code with simulation tooling.
• Experience in Linux development environments with Git, containers, and CI/CD.
• Knowledge of communications, signal processing, or wireless systems.

Responsibilities

• Own the technical architecture and roadmap for a modular RAN digital twin (LTE, 5G NR).
• Integrate MAC and scheduler software into deterministic simulations.
• Model interactions among scheduler, PHY, channels, UE, traffic, and power control.
• Extend LTE simulation and define abstractions for 5G NR and 2G stacks.
• Design a fidelity ladder with high-fidelity PHY and faster surrogate models.
• Develop AI/ML-based RAN capabilities and experiment pipelines.
• Create reproducible A/B experiments with defined KPIs and configurations.
• Establish simulation verification, calibration, and lab-repeatability practices.
• Build automated unit, integration, and performance tests integrated into CI/CD.

Skills

C/C++

Python

Linux

CI/CD

Education

BSc or MSc in Electrical/Computer Engineering or CS

Tools

MATLAB

PyTorch

TensorFlow

Job description

Parallel Wireless is seeking a hands-on wireless systems engineer to lead development of a multi-RAT digital twin for our Open RAN solution. You will evolve an LTE end-to-end simulator into a scalable platform for feature development, testing, and pre-validation.

The role covers MAC scheduling, neural channel estimation, and ML-based surrogates, working across C/C++, Python, MATLAB, and production systems. An engineering-driven culture awaits.