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Senior/Principal RAN Digital Twin & AI Simulation Engineer

1 day, 9 hours ago
United States
Full-time
Senior
Machine Learning Engineer
Software Development
C C++ CI/CD Git Linux Machine Learning MATLAB Neural Networks NumPy Pandas Python PyTorch Reinforcement Learning SciPy TensorFlow
Apply Now
Parallel Wireless

Parallel Wireless

Parallel Wireless leads the OpenRAN movement with innovative cloud-native architecture, enabling cost-effective cellular network deployment globally.

Wireless Telecommunication Services
501-1000
Founded 2012
$2M raised
View All Jobs 15

Description

  • Own the technical architecture and roadmap for a modular multi-RAT RAN digital twin covering LTE and 5G NR.
  • Integrate production MAC and scheduler software into deterministic, closed-loop per-TTI/slot simulations.
  • Model interactions among scheduling, PHY processing, channels, UE behavior, traffic, interference, mobility, HARQ, link adaptation, and power control.
  • Extend the LTE simulator and create reusable abstractions for 5G NR and 2G stacks.
  • Design and calibrate fidelity levels ranging from high-fidelity PHY execution to fast surrogate and lookup models.
  • Develop and evaluate AI/ML-based RAN capabilities, including neural channel estimation, learned scheduling, and PHY or channel surrogates.
  • Build datasets, experiment pipelines, algorithmic baselines, and reproducible A/B tests using defined scenarios and RAN KPIs.
  • Establish simulation verification, validation, calibration, divergence analysis, and evidence-reporting practices against lab or field data.
  • Build automated unit, regression, end-to-end, and performance tests within CI/CD workflows.
  • Collaborate with RAN stack, PHY, architecture, AI/ML, automation, and lab-validation teams to deliver measurable simulation campaigns.

Requirements

  • BSc or MSc in Electrical Engineering, Computer Engineering, Computer Science, or a related field, with substantial relevant industry experience.
  • Typically 7+ years of hands-on experience in communications systems, system development, integration, or simulation.
  • Experience building or validating link-level, system-level, or hardware-in-the-loop simulations.
  • Strong C or C++ and Python programming skills, including integration of production native code with simulation and analysis tools.
  • Experience with scientific computing and data analysis tools such as NumPy, SciPy, pandas, and visualization frameworks.
  • Sound experimental and statistical judgment, including reproducibility, calibration, error analysis, uncertainty, and controlled comparisons.
  • Experience with Linux, Git, automated testing, containers, and CI/CD workflows.
  • Ability to lead technically ambiguous initiatives, make architecture decisions, and communicate across research, product, engineering, and validation teams.
  • Knowledge of RAN, modem/PHY, or wireless systems; LTE/5G NR L1/L2 behavior is preferred.
  • Experience with ML for communications using PyTorch, TensorFlow, or equivalent; MATLAB PHY toolboxes, Open RAN or base-station software, 3GPP specifications, and scheduler algorithms are preferred.

Interested in this position?

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