Senior/Principal RAN Digital Twin & AI Simulation Engineer

About the role

Parallelwireless is building a multi-RAT digital twin to simulate Open RAN software, including MAC and scheduler logic, in a closed-loop environment. This role focuses on evolving existing LTE simulation capabilities into a scalable platform that supports 5G NR and 2G feature development, performance testing, and AI-driven optimization. You will lead the architecture of this simulation ecosystem to reduce reliance on physical lab setups while ensuring high-confidence results.

Key facts

What you'll do

• Architect and maintain a modular digital twin platform covering LTE, 5G NR, and 2G protocols.
• Integrate production MAC and scheduler software into deterministic, closed-loop simulation environments.
• Develop a fidelity ladder that balances high-accuracy PHY execution with faster surrogate models.
• Create AI and machine learning models for neural channel estimation, link adaptation, and scheduling policies.
• Build experiment pipelines to measure KPIs such as throughput, BLER, latency, and resource allocation.
• Establish verification and calibration standards to ensure simulation results match lab and field data.
• Automate unit, regression, and performance testing within CI/CD workflows.
• Debug complex issues across C/C++, Python, MATLAB, and production stack codebases.

Requirements

• BSc or MSc in Electrical Engineering, Computer Engineering, Computer Science, or related field; PhD is an advantage.
• Minimum 7 years of professional experience in wireless systems, RAN development, or link-level simulation.
• Expertise in LTE or 5G NR L1/L2 protocols, specifically MAC scheduling, HARQ, and link adaptation.
• Proficiency in digital signal processing, including MIMO, channel estimation, and propagation modeling.
• Strong C/C++ and Python programming skills for integrating production code with simulation tools.
• Experience with PyTorch, TensorFlow, or similar frameworks for ML model development.
• Knowledge of Linux environments, Git, containers, and automated testing practices.
• Ability to manage technical architecture decisions and coordinate across cross-functional engineering teams.

Nice to have

• Proficiency in MATLAB and Communications/LTE/5G toolboxes.
• Background in production eNodeB/gNodeB software or Open RAN systems.
• Familiarity with 3GPP specifications for LTE, NR, or GERAN.
• Experience with scheduler algorithms like proportional fair or QoS-aware resource allocation.
• Knowledge of neural channel estimation, differentiable communications, or ML inference in latency-sensitive systems.
• Experience with massive MIMO, beam management, or carrier aggregation.
• Skills in GPU acceleration, CUDA, or cloud-based HPC simulation.
• Practical experience with SDRs, lab test equipment, or field-log analysis.

Skills & tools

• C/C++
• Python
• NumPy/SciPy/pandas
• PyTorch/TensorFlow
• Linux/Git/CI/CD
• LTE/5G NR/2G
• MAC/PHY/L1/L2
• Machine Learning/AI