Job Description

The Cloud Software Development Engineer will contribute to the design, development, and delivery of cloud-native, AI-enabled software platforms for the 5G Wireless Core engineering organization. This role works closely with Solution Architects, Business Development Engineers, customers, and ecosystem partners to develop innovative software solutions optimized for Intel Xeon processors, accelerators, and AI execution environments.

The successful candidate will develop scalable software solutions and cloud-native platforms that enable next-generation AI capabilities within 5G Core environments. The role requires strong software engineering skills, experience with AI/ML technologies, and the ability to engage directly with customers to understand requirements, demonstrate solutions, resolve technical challenges, and support successful deployments.

Qualifications:

Key Responsibilities

• Design, develop, test, and deploy cloud-native software platforms that enable customers to integrate, deploy, and operationalize AI-powered solutions within 5G Wireless Core environments.
• Develop scalable distributed software services and Kubernetes-based applications that combine AI/ML technologies, large language models, and cloud-native telecommunications platforms to deliver innovative customer-focused solutions.
• Collaborate with Solution Architects, Business Development Engineers, customers, and ecosystem partners to translate business and technical requirements into software solutions.
• Work closely with sales, business development, and technical customer-facing teams to understand customer challenges and develop solutions that accelerate adoption of Intel technologies.
• Support customer engagements, technical workshops, proof-of-concepts, and solution demonstrations showcasing Intel-powered platforms and AI capabilities.
• Enable, deploy, and optimize AI/ML workloads in cloud-native environments.
• Develop and optimize AI inference and model-serving solutions utilizing technologies such as OpenVINO, vLLM, PyTorch, and TensorFlow.
• Optimize software solutions for Intel Xeon processors and accelerator technologies.
• Contribute to software architecture, feature definition, and technical roadmaps.
• Evaluate emerging AI, cloud, and telecommunications technologies and contribute to proof-of-concept and production deployments.
• Collaborate across geographically distributed engineering teams to deliver high-quality software and customer-focused solutions.
• Participate in technical discussions with customers and ecosystem partners to identify opportunities for innovation and solution optimization.

Minimum Qualifications

• Bachelor's degree in Computer Science, Computer Engineering, Electrical Engineering, or a related technical discipline.
• 7+ years of software development experience with experience in distributed systems and cloud-native software development.
• Strong programming experience in C and/or C++ and python
• Experience deploying, optimizing, and operationalizing AI/ML models in production environments.
• Hands-on experience with AI/ML frameworks such as PyTorch, TensorFlow, OpenVINO, vLLM, or equivalent technologies.
• Experience with AI inferencing, large language models (LLMs), generative AI, and model-serving technologies.
• Experience with GPU, accelerator, and heterogeneous computing platforms.
• Experience designing and developing cloud-native applications and microservices architectures.
• Hands-on experience with Kubernetes and container orchestration technologies.
• Experience with OpenShift Container Platform (OCP) administration, deployment, and operations.
• Strong understanding of Linux-based development environments.
• Experience with 5G Core network architecture and cloud-native telecommunications platforms.
• Experience with software design, performance optimization, debugging, and scalability engineering.
• Experience working directly with customers, field teams, Solution Architects, or Business Development teams to troubleshoot, optimize, and demonstrate software solutions.
• Strong communication, collaboration, and stakeholder engagement skills.

Preferred Qualifications

Master's degree in Computer Science, Electrical Engineering, Telecommunications, Artificial Intelligence, or a related field.

Experience with 3GPP-defined 5G Core network functions and cloud-native network function (CNF) architectures.

Familiarity with CI/CD pipelines, GitOps methodologies, and Infrastructure-as-Code tools.

Experience working with telecommunications operators, cloud service providers, or network equipment vendors.

Knowledge of service mesh technologies, observability platforms, and cloud-native operations.

Experience supporting customer deployments, proof-of-concepts, and technical solution demonstrations.

Experience contributing to software architecture and technical direction for complex engineering projects.

Demonstrated ability to work effectively across engineering, product, sales, and customer-facing organizations.

Job Type

Experienced Hire

Shift

Shift 1 (Ireland)

Primary Location

Ireland, Leixlip

Additional Locations

Posting Statement

All qualified applicants will receive consideration for employment without regard to race, color, religion, religious creed, sex, national origin, ancestry, age, physical or mental disability, medical condition, genetic information, military and veteran status, marital status, pregnancy, gender, gender expression, gender identity, sexual orientation, or any other characteristic protected by local law, regulation, or ordinance.

Position of Trust

N/A

EU Salary

We offer a total compensation package that ranks among the best in the industry.

Annual Salary Range for this job which could be performed in Ireland is: ‏63,600.00 € - €118,800.00 The compensation range displayed in this posting reflects the minimum and maximum target compensation for this position. Within this range, individual pay is determined by job related skills, experience, and relevant education, training. As part of our total compensation approach, the final offer may include additional pay components and benefits. Your recruiting team will share the confirmed base salary along with any applicable total compensation elements upon employment offer delivery.

Work Model for this Role

This role will require an on-site presence. * Job posting details (such as work model, location or time type) are subject to change.