Über diese RAN Digital Twin Engineer Stelle bei Parallelwireless
What will you do:
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Contribute to the development of a modular, multi-RAT RAN digital twin covering LTE and 5G NR.
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Develop and integrate production software components with simulation and analysis tooling using stable and maintainable interfaces.
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Work with software and system teams to model communication-system behavior, including traffic, mobility, scheduling, interference, and performance KPIs.
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Support the extension of existing LTE simulation capabilities and reusable components for additional radio technologies.
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Develop software components and tools in C/C++ and Python for simulation, automation, data processing, and analysis.
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Support the development and evaluation of AI/ML-based capabilities for communication systems and network optimization.
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Build datasets, experiment pipelines, and automated analysis tools to evaluate system behavior and algorithm performance.
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Create reproducible tests and experiments across software builds and algorithm versions using defined scenarios, configurations, and KPIs.
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Support simulation verification and validation activities, including comparison with lab results and analysis of model behavior.
- Build automated unit, component, end-to-end, regression, and performance tests and integrate them into CI/CD workflows.
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Improve simulation speed, usability, observability, and automation so engineering teams can run repeatable experiments independently.
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Debug issues across C/C++, Python, MATLAB, system software, configuration, and reference measurements.
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Document assumptions, supported scenarios, limitations, and experiment results in a clear and structured way.
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Work closely with RAN, PHY, system, AI/ML, automation, and validation teams to turn engineering questions into measurable experiments.
What you bring:
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B.Sc. in Electrical Engineering or an M.Sc. in a relevant field.
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At least 2 years of hands-on software development experience in communication systems or a related telecom environment.
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Strong software development skills in C or C++ and Python.
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Good understanding of communication systems and the ability to learn new technologies and system concepts quickly.
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Experience working in Linux development environments with Git, automated testing, and modern software development practices.
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Strong analytical and problem-solving skills, with the ability to investigate complex technical issues independently.
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Good communication skills and the ability to work effectively with software, system, algorithms, and validation teams.
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Simulation experience is not required; candidates with strong software and communication-system backgrounds are encouraged to apply.
Nice to have:
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Experience with simulation environments, system-level modelling, or hardware-in-the-loop testing.
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Knowledge of LTE and/or 5G NR, RAN, modem/PHY, or wireless communication systems.
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Experience with MATLAB and communication-system simulation or analysis tools.
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Hands-on experience with scientific computing and data analysis using NumPy, SciPy, pandas, or similar tools.
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Exposure to AI/ML, time-series analysis, signal processing, or network optimization.
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Familiarity with PyTorch, TensorFlow, Hugging Face, or other machine-learning frameworks.
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Knowledge of digital communications and signal processing concepts.
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Experience with automated testing, containers, CI/CD, or cloud development environments.
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Familiarity with SDR, radio test equipment, lab automation, or field-log analysis.
