Parallel Wireless

Parallel Wireless

Senior/Principal RAN Digital Twin & AI Simulation Engineer

US · Principal

Sponsorship not specifiedDetected 43 days ago
PythonC++CMATLABAlgorithmsGitCI/CDLinuxMachine LearningTensorFlowPyTorchPandasNumPyData AnalysisSystems EngineeringElectrical EngineeringSignal ProcessingTest AutomationManual Testing5G/LTEResearchCommunication

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About the role

  • Parallel Wireless is a U.S.-based pioneer in Open RAN innovation, transforming how mobile networks are built, optimized, and powered.
  • The digital twin will execute production RAN software-beginning with scheduler and MAC behavior-in a closed loop with PHY, channel, UE, traffic, and network models.
  • This is a senior individual-contributor role at the intersection of wireless systems, simulation, production software, and AI/ML.

Responsibilities

  • Own the technical architecture and roadmap for a modular, multi-RAT RAN digital twin
  • Extend the current LTE simulation capability and define reusable abstractions that support additional 5G NR and
  • Design a fidelity ladder that combines high-fidelity PHY execution with faster calibrated models or lookup/surrogate backends, selecting the least expensive model that is valid for each engineering question.
  • Develop and evaluate AI/ML-based RAN capabilities, including neural channel estimation, learned link adaptation or scheduling policies, and ML-based PHY or channel surrogates.
  • Build representative datasets and experiment pipelines
  • Create reproducible A/B experiments across software builds and algorithm versions, using defined scenarios, seeds, configurations, and KPIs such as throughput, BLER/ACK-NACK behaviour, MCS, resource-block allocation, SINR, transmit power, latency, and fairness.
  • Build representative datasets and experiment pipelines; establish conventional algorithmic baselines;
  • Build automated unit, component, end-to-end, regression, and performance tests and integrate them into CI/CD workflows.
  • Document model assumptions, limitations, supported operating regions, calibration provenance,

Requirements

  • Typically, 7+ years of hands-on experience in communication systems, system development, integration,
  • Experience with RAN, modem/PHY, or wireless systems is an advantage.
  • Strong programming skills in C or C++ and Python, including the ability to integrate production native code with simulation and analysis tooling.
  • Practical experience with scientific computing and data analysis using tools such as NumPy, SciPy, pandas, and visualization frameworks.
  • Experience working in Linux development environments with Git, automated testing, containers, and CI/CD.
  • BSc or MSc in Electrical Engineering, Computer Engineering, Computer Science, or a related field,
  • with substantial relevant industry experience.
  • or simulation. Experience with RAN, modem/PHY, or wireless systems is an advantage.
  • Demonstrated experience building or validating link-level, system-level, or hardware-in-the-loop simulations
  • and explaining where a model is-and is not-valid.
  • Sound experimental and statistical judgment: reproducibility, baselines, error analysis, uncertainty, calibration, controlled comparisons, and avoidance of data leakage or curve fitting.
  • Ability to lead a technically ambiguous initiative, make architecture decisions, and communicate
  • clearly across research, product, development, and validation teams.

Nice to have

  • A PhD in wireless communications, signal processing or a related area.
  • signal processing, time-series data, or related domains using PyTorch, TensorFlow, or an equivalent framework.
  • Knowledge of LTE and/or 5G NR L1/L2 behavior, including MAC scheduling, link adaptation, HARQ,
  • CQI/SINR feedback, resource allocation, and uplink power control.
  • Knowledge of digital communications and signal processing, including areas such as channel estimation, equalization, coding/modulation, MIMO, propagation and fading models.
  • 5G NR and 2G stacks without duplicating the platform.
  • Experience with MATLAB and Communications/LTE/5G toolboxes or equivalent PHY simulation environments.
  • Direct experience with production eNodeB/gNodeB software, commercial modem stacks, or Open RAN products.

Company info

  • Our software-centric, hardware-agnostic approach brings intelligence into the RAN while helping customers reduce complexity and total cost of ownership.
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