AI-Driven 6G RAN Prototype Engineer

China Telecom Singapore Innovation Research Institute; Singapore; On-site; SGD 120,000 - 180,000; Full time

Job summary

China Telecom Singapore Innovation Research Institute is looking for a researcher to advance AI-native RAN architectures and 5G networking. The role emphasizes intelligent scheduling, dynamic resource allocation, and adaptive beamforming within next‑gen wireless systems.

You will build and optimize AI/ML models for link adaptation, interference management, and energy efficiency, while creating data pipelines for training and real-time inference.

Qualifications

• PhD or MSc in Electronic/Communication Engineering or Computer Science
• Strong development record in AI-native RAN, wireless system, or 5G networking
• Experience in L1-L3 layer design for 5G systems
• Proficiency in deep learning / RL / FL for RAN optimization
• Experience in AI inference for 5G RAN optimization
• Strong programming skills in Python (PyTorch/TensorFlow), C++ for prototyping
• Demonstrated experience building and validating 5G RAN systems

Responsibilities

• Design AI-native RAN architectures and AI-driven features across PHY–RAN
• Develop and optimize AI/ML models for link adaptation, interference management, user scheduling, energy efficiency
• Build data pipelines for data collection, preprocessing, labeling, and real-time inference
• Validate AI modules within the 5G base station software stack (PHY, MAC, RLC, PDCP)
• Collaborate with hardware teams to deploy on FPGA/ASIC/GPU/DSP
• Contribute to standardization efforts (3GPP, O-RAN) by integrating AI-native RAN features

Skills

AI-native RAN development

5G/wireless systems

L1-L3 layer design

Deep learning / RL / FL

AI inference in RAN

Python (PyTorch/TensorFlow)

C++ programming

5G RAN validation

Education

PhD or MSc in Electronic Engineering, Communication Engineering or Computer Science

Job description

China Telecom Singapore Innovation Research Institute is looking for a researcher to advance AI-native RAN architectures and 5G networking. The role emphasizes intelligent scheduling, dynamic resource allocation, and adaptive beamforming within next‑gen wireless systems.

You will build and optimize AI/ML models for link adaptation, interference management, and energy efficiency, while creating data pipelines for training and real-time inference.