Data Centre Networking SME
Introduction
At IBM, we're reimagining how data centers think, reason, and optimize themselves for the age of artificial intelligence. Our Network Intelligence (INI) product brings AI-driven reasoning and automation to enterprise and telecom operations-combining time-series foundation models, agentic frameworks, and domain-aware knowledge graphs. Building on this foundation, IBM's AI Data Centre Networking initiative applies the same intelligence to network infrastructure, enabling high-performance, self-optimizing fabrics for GPU/TPU clusters and distributed AI workloads. The result is a new class of AI-native data centers-resilient, adaptive, and designed to power the world's most demanding AI systems.
We're looking for an AI Data Centre Networking Subject Matter Expert (SME) to help shape and guide this transformation. You will collaborate with IBM's engineering, research, and product teams to identify, validate, and architect solutions for next-generation networking use cases - including AI inference traffic optimization, priority-based flow control for GPU/TPU clusters, multi-tenant isolation, and fabric scalability challenges. Your insights will directly influence how IBM builds and evolves intelligent infrastructure for AI at scale.
Your role and responsibilities
Position Summary
The ideal candidate brings hands-on experience operating AI/ML infrastructure and understands the networking challenges of high-performance computing workloads. While deep expertise across all domains is valuable, we welcome emerging practitioners with strong foundational knowledge and genuine curiosity about solving real-world problems. You will serve as the bridge between real-world data centre operations and our product roadmap, ensuring we build solutions that address genuine infrastructure challenges faced by organizations running distributed AI workloads at scale.
You will help define next-generation networking architectures that enable efficient, scalable, and resilient AI compute fabrics across distributed environments.
Key Responsibilities
• Product Advisory & Strategy: Act as the technical voice of the customer, translating operational pain points from AI data centre environments into actionable product requirements.
• Cross-Functional Collaboration: Work with engineering and product teams to validate use cases, refine features, and align solutions with real-world AI infrastructure needs.
• Technical Validation: Evaluate networking architectures for distributed AI workloads including training, inference, and GPU/TPU communication.
• Use Case Development: Define reference architectures for high-bandwidth interconnects, congestion management, workload isolation, and multi-tenant segmentation.
Want more jobs like this?
Get jobs in Dublin, Ireland delivered to your inbox every week.
• Technology Assessment: Track emerging AI networking technologies, standards, and trends - focusing on performance and energy efficiency.
• Requirements Translation: Convert operational insights into clear, implementable technical specifications.
• Customer & Partner Engagement: Support customer discussions, PoC validations, and feedback loops.
• Benchmarking & Market Insight: Analyze competitor and hyperscaler AI DC architectures to guide product differentiation.
• Knowledge Sharing: Contribute to technical documentation and internal knowledge bases.
Required education
Bachelor's Degree
Preferred education
Master's Degree
Required technical and professional expertise
• 10+ years' experience in data centre networking, HPC systems, or AI infrastructure operations.
• Understanding of AI/ML workload behavior including distributed training, inference, and data pipelines.
• Familiarity with RDMA (RoCE/InfiniBand), VXLAN, EVPN, and Data Center Bridging (DCB).
• Experience with GPU clusters or NVIDIA DGX-class AI infrastructure preferred.
• Ability to articulate technical concepts clearly to technical and non-technical audiences.
• Demonstrated capability to influence product design and translate operational experience into actionable insights.
Preferred technical and professional experience
• Experience with Kubernetes, Kubeflow, or MLOps environments for AI workloads.
• Knowledge of telemetry, observability, and automation tools in DC environments.
• Experience in product development or solutions architecture roles.
• Familiarity with SDN, composable infrastructure, or disaggregated data centre architectures.
• Exposure to AI fabric orchestration and high-performance interconnect management.
• Contributions to AI/Networking technical communities or open-source initiatives
ABOUT BUSINESS UNIT
IBM Software infuses core business operations with intelligence-from machine learning to generative AI-to help make organizations more responsive, productive, and resilient. IBM Software helps clients put AI into action now to create real value with trust, speed, and confidence across digital labor, IT automation, application modernization, security, and sustainability. Critical to this is the ability to make use of all data, because AI is only as good as the data that fuels it. In most organizations data is spread across multiple clouds, on premises, in private datacenters, and at the edge. IBM's AI and data platform scales and accelerates the impact of AI with trusted data, and provides leading capabilities to train, tune and deploy AI across business. IBM's hybrid cloud platform is one of the most comprehensive and consistent approach to development, security, and operations across hybrid environments-a flexible foundation for leveraging data, wherever it resides, to extend AI deep into a business.
YOUR LIFE @ IBM
In a world where technology never stands still, we understand that, dedication to our clients success, innovation that matters, and trust and personal responsibility in all our relationships, lives in what we do as IBMers as we strive to be the catalyst that makes the world work better.
Being an IBMer means you'll be able to learn and develop yourself and your career, you'll be encouraged to be courageous and experiment everyday, all whilst having continuous trust and support in an environment where everyone can thrive whatever their personal or professional background.
Our IBMers are growth minded, always staying curious, open to feedback and learning new information and skills to constantly transform themselves and our company. They are trusted to provide on-going feedback to help other IBMers grow, as well as collaborate with colleagues keeping in mind a team focused approach to include different perspectives to drive exceptional outcomes for our customers. The courage our IBMers have to make critical decisions everyday is essential to IBM becoming the catalyst for progress, always embracing challenges with resources they have to hand, a can-do attitude and always striving for an outcome focused approach within everything that they do.
Are you ready to be an IBMer?
ABOUT IBM
IBM's greatest invention is the IBMer. We believe that through the application of intelligence, reason and science, we can improve business, society and the human condition, bringing the power of an open hybrid cloud and AI strategy to life for our clients and partners around the world.
Restlessly reinventing since 1911, we are not only one of the largest corporate organizations in the world, we're also one of the biggest technology and consulting employers, with many of the Fortune 500 companies relying on the IBM Cloud to run their business.
At IBM, we pride ourselves on being an early adopter of artificial intelligence, quantum computing and blockchain. Now it's time for you to join us on our journey to being a responsible technology innovator and a force for good in the world.
IBM is proud to be an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender, gender identity or expression, sexual orientation, national origin, genetics, pregnancy, disability, neurodivergence, age, or other characteristics protected by the applicable law. IBM is also committed to compliance with all fair employment practices regarding citizenship and immigration status.
OTHER RELEVANT JOB DETAILS
For additional information about location requirements, please discuss with the recruiter following submission of your application.
Perks and Benefits
Health and Wellness
Parental Benefits
Work Flexibility
Office Life and Perks
Vacation and Time Off
Financial and Retirement
Professional Development
Diversity and Inclusion
Company Videos
Hear directly from employees about what it is like to work at IBM.