Overview:
Our Wireless Technology organization is transforming the future of connectivity. We're doing it by building the country's first virtualized, standalone 5G wireless network from scratch. The foundation of a connected world, it's a network free of the limitations of the past, and flexible enough to satisfy all the social, economic and transformative needs of the changing world.
Responsibilities:
Key Responsibilities:
* Lead the end-to-end lifecycle of AI/ML initiatives focused on enhancing RAN performance, including use case definition, solution design, modeling, and deployment in live networks.
* Develop frameworks that enable automated network decision-making, including dynamic resource allocation, anomaly detection, and predictive planning.
* Translate high-level business and technical requirements into actionable engineering roadmaps with clear success metrics and deliverables
* Ensure operational readiness for AI solutions, including testing, validation, monitoring, and maintenance procedures that support large-scale deployment.
* Stay informed on emerging technologies in AI/ML, network virtualization, and RAN architectures, and provide strategic input to guide innovation.
* Act as a thought leader and mentor within the organization, helping elevate AI literacy and engineering rigor across teams.
* Foster partnerships to drive innovation and automation in network design, deployment, and optimization
* Enable data analytics and AI/ML models for the network monitoring, operations and assurance
* Automate repetitive tasks through scripting and leveraging AI automated workflows.
Qualifications:
Education and Experience:
* Bachelor's or master's degree in a technical discipline (computer science or electrical engineering degree preferred)
* 7+ years of experience working within the wireless industry
Skills and Qualifications:
* Familiarity with Wireless network architecture technologies, concepts, and industry standards
* Proven track record in assessing and deploying AI technologies across RAN systems.
* Experience deploying and managing SON platforms.
* Strong understanding and practical knowledge of AI-RANI, RIC architectures and rApp development.
* Experience in RF Design or Optimization in a multi-technology network environment
* Skilled in RF optimization, network automation, and optimization processes and tools
* Experience with Cloud Deployments.
* Knowhow in RAN Performance Metrics
* Experience coding in Python
* Familiarity with AI/ML models and data science projects
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