Job Details: Job Description: The Senior Cloud Software Development Engineer will lead the architecture, 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 define technical requirements and create innovative software solutions optimized for Intel® Xeon® processors, accelerators, and AI execution environments. The successful candidate will drive the creation of scalable software platforms and AI-enabled solutions that help customers integrate, deploy, optimize, and operationalize advanced AI capabilities within cloud-native telecommunications environments. The role requires deep expertise in AI/ML model deployment and optimization, software architecture, performance engineering, cloud-native technologies, and customer-facing technical leadership. Key Responsibilities Architect and develop cloud-native software platforms that enable customers to integrate, deploy, and operationalize AI-powered solutions within 5G Wireless Core environments. Lead the design and implementation of scalable distributed software services and Kubernetes-based applications that combine AI/ML technologies, large language models, and cloud-native telecommunications platforms to solve customer and business challenges. Partner with Solution Architects, Business Development Engineers, customers, and ecosystem partners to define technical strategies and translate business requirements into innovative software solutions. Drive technical strategy, architecture decisions, and solution direction across multiple software initiatives. Work closely with sales, business development, and customer engineering teams to identify opportunities where AI-enabled solutions can accelerate adoption of Intel technologies. Enable, deploy, and optimize AI/ML workloads in cloud-native environments using Intel hardware and software technologies. Design and optimize AI inference and model-serving frameworks utilizing technologies such as OpenVINO™, vLLM, PyTorch, and TensorFlow. Deliver high-performance software solutions utilizing Intel® Xeon® processors and accelerator technologies. Lead customer engagements, technical workshops, proof-of-concepts, and solution demonstrations showcasing Intel-powered AI and cloud-native solutions. Evaluate emerging AI, cloud, and telecommunications technologies and drive innovation through proof-of-concept and production deployments. Provide technical leadership, mentorship, and guidance across cross-functional engineering teams. Influence customer technical strategies, ecosystem partnerships, and solution architectures within the 5G and AI ecosystem. Represent Intel in strategic engagements with customers, partners, and industry stakeholders to accelerate adoption of Intel-powered solutions. Qualifications: Minimum Qualifications Bachelor's degree in Computer Science, Computer Engineering, Electrical Engineering, or related technical discipline. 10+ years of software development experience with substantial experience in large-scale distributed systems. Strong programming expertise in C and C++. 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. Expertise in AI inferencing, large language models (LLMs), generative AI, and model-serving technologies. Experience with GPU, accelerator, and heterogeneous computing platforms. Extensive 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 architecture, system design, performance optimization, and scalability engineering. Experience leading customer-facing technical engagements and translating business requirements into software solutions. Excellent communication, collaboration, and stakeholder engagement skills. Demonstrated ability to lead complex technical projects across geographically distributed teams. Preferred Qualifications Master's or PhD in Computer Science, Electrical Engineering, Telecommunications, Artificial Intelligence, or 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 representing technical solutions to customers, partners, and industry forums. Experience driving technical strategy across customer engagements, ecosystem partnerships, and multi-disciplinary engineering teams. Proven track record of technical leadership and influencing architecture across large engineering 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: ‏76,000.00 € - €142,100.00 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. * Intel’s official careers website. Find your next job and take on projects that shape tomorrow’s technology. Benefits Internships Life at Intel Locations Recruitment Process

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