AI Cloud Engineer for 5G Core & Kubernetes

508 Intel Research & Development Ireland Ltd.; Leixlip; On-site; EUR 64,000 - 119,000; Full time

Job summary

Intel Corporation in Ireland is hiring a Cloud Software Development Engineer to design, develop, and deliver cloud-native AI-enabled software platforms for the 5G Wireless Core engineering organization. This role emphasizes hands-on development and collaboration with architects, customers, and partners to deliver scalable software that integrates AI/machine learning workloads on Intel Xeon processors.

You will work with OpenVINO, PyTorch, and TensorFlow to optimize AI inference and

Qualifications

• 7+ years of software development experience with distributed systems and cloud-native software.
• Strong programming in C and/or C++ and Python.
• Experience deploying AI/ML models in production environments.

Responsibilities

• Design, develop, test, and deploy cloud-native software platforms for AI-powered 5G Core.
• Build scalable distributed services and Kubernetes-based applications with AI/ML tech.
• Collaborate with architects, customers, and partners to translate requirements into software.
• Engage with sales and customer teams to demonstrate solutions and accelerate adoption.
• Enable, deploy, and optimize AI workloads in cloud environments.
• Contribute to architecture, feature definition, and roadmaps.

Skills

C/C++

Python

AI/ML frameworks

Kubernetes

OpenVINO

PyTorch

TensorFlow

Linux

5G Core

Education

Bachelor's degree in CS/CE/EE

Tools

OpenShift Container Platform

GitOps

Infrastructure-as-Code

Job description

Intel Corporation in Ireland is hiring a Cloud Software Development Engineer to design, develop, and deliver cloud-native AI-enabled software platforms for the 5G Wireless Core engineering organization. This role emphasizes hands-on development and collaboration with architects, customers, and partners to deliver scalable software that integrates AI/machine learning workloads on Intel Xeon processors.

You will work with OpenVINO, PyTorch, and TensorFlow to optimize AI inference and