AI in RAN System Developer
Core
Design and deploy AI/ML-enabled functions for Radio Access Networks (RAN) to optimize network performance, resource utilization, and user experience under strict real-time and embedded constraints.
Role type
Senior IC AI/ML System Developer (Telecom RAN)
Builds
AI-native RAN functions and algorithms for 5G/6G networks
Domain
Telecommunications, Wireless Networks, Embedded Systems
Deliverable
production ML models
Required skills
Machine Learning (supervised, unsupervised, reinforcement), C++, Python, Model optimization (quantization, pruning, compression), Embedded systems design, Telecom RAN algorithms (scheduling, mobility, RRM)
Preferred skills
Experience with NR Advanced capabilities, CI/CD pipelines, Statistical analysis
Technologies
C++, Python, Embedded platforms, RAN software platforms
Responsibilities
Drive system design of AI/ML-enabled RAN functions, Analyze data to translate insights into deployable capabilities, Design experiments and validation methodologies for AI solutions, Evaluate trade-offs between AI and classical algorithms, Integrate AI solutions into RAN products from prototype to production, Optimize AI models for finite CPU, memory, power, and latency budgets
Seniority
Senior, hands-on IC
