Senior HPC & AI Infrastructure Consultant m/f/d

Lenovo; Berlin; On-site; EUR 90,000 - 130,000; Full time

Benefits offered by this job

Gender diversity program

Employee assistance program

Sustainable solutions initiatives

Internal training platform

Job summary

Lenovo Infrastructure Deployment Services (LIDS) seeks a Technical Consultant to deliver large-scale HPC and AI infrastructure deployments, including liquid-cooled GPU clusters and AI-ready data center platforms. You will work with customers and global teams across EMEA, driving from installation through production handover.

The role emphasizes hands-on GPU architectures, Kubernetes environments, and robust collaboration with partners, delivering technical expertise and documentation to ensure

Qualifications

• Experience administering Linux environments (RHEL, Rocky, Ubuntu, SLES) for enterprise HPC/AI infra.
• Proven track record deploying/integrating HPC/AI clusters from install to production.
• Deep understanding of NVIDIA AI platforms and GPU architectures.
• Hands-on with high-performance networking (InfiniBand, Ethernet, RoCEv2).

Responsibilities

• Deploy, configure, and support large-scale HPC and AI infrastructure deployments for enterprise customers.
• Work across data center infra, networking, storage, Kubernetes, and GPU environments.
• Lead integration, validation, testing, and troubleshooting of HPC/AI solutions.
• Implement and optimize AI orchestration and MLOps platforms in production.
• Collaborate with customers, partners, and project teams through full lifecycle.
• Provide technical guidance to resolve deployment challenges and ensure project success.
• Support customers during operational readiness activities for stability and scalability.
• Create technical docs, training materials, and knowledge base content.

Skills

Linux administration

HPC/AI infrastructure

NVIDIA GPUs

Kubernetes

Kubeflow/MLops

Python/Bash

Ansible/Git

Cluster validation & benchmarking

Monitoring & observability

Documentation & knowledge transfer

Tools

GPFS

VAST Data

DDN

Slurm

PBS Pro

Grafana

Prometheus

Loki

NVIDIA CVS

Job description

We are Lenovo. We do what we say. We own what we do. We WOW our customers.

Lenovo is a US$83 billion revenue global technology powerhouse, ranked #153 in the Fortune Global 500, and serving millions of customers every day in 180 markets. Focused on a bold vision to deliver Smarter Technology for All, Lenovo has built on its success as the world’s largest PC company with a full-stack portfolio of AI-enabled, AI-ready, and AI-optimized devices (PCs, workstations, smartphones, tablets), infrastructure (server, storage, edge, high performance computing and software defined infrastructure), software, solutions, and services. Lenovo’s continued investment in world-changing innovation is building a more equitable, trustworthy, and smarter future for everyone, everywhere. Lenovo is listed on the Hong Kong stock exchange under Lenovo Group Limited (HKSE: 992) (ADR: LNVGY).

This transformation together with Lenovo’s world-changing innovation is building a more inclusive, trustworthy, and smarter future for everyone, everywhere. To find out more visit www.lenovo.com, and read about the latest news via our StoryHub.

Join Lenovo as a Technical Consultant within our Lenovo Infrastructure Deployment Services (LIDS) team and play a key role in delivering large-scale AI and HPC infrastructure solutions for some of the world's leading organizations. You will support complex deployments including liquid-cooled GPU clusters, accelerated computing environments, and AI-ready data center platforms, working closely with customers and global project teams across the EMEA region and beyond. This role reports to the Global HPC Delivery Leader.

What You Will Do

• Deploy, configure, and support large-scale High Performance Computing (HPC) and AI infrastructure solutions for enterprise customers.
• Work across the full technology stack, including data centre infrastructure, networking, storage systems, Kubernetes platforms, and GPU environments.
• Lead the integration, validation, testing, and troubleshooting of complex HPC and AI solutions to ensure successful deployments.
• Implement and optimize AI orchestration, MLOps platforms, GPU resource management,and AI/ML workloads in production environments.
• Collaborate closely with customers, technology partners, and internal project teams throughout the entire project lifecycle, from installation to production handover.
• Provide technical expertise and make informed decisions to resolve deployment challenges and ensure project success.
• Support customers during operational readiness activities, ensuring solutions are stable, scalable, and ready for day-to-day use.
• Create technical documentation, training materials, and knowledge base content while continuously developing expertise in emerging HPC and AI technologies.

What You Will Bring

• Strong experience administering Linux environments (RHEL, Rocky Linux, Ubuntu, SLES) and supporting enterprise-scale HPC and AI infrastructure.
• Proven background in deploying, integrating, and supporting HPC and AI clusters, from installation through production readiness.
• Deep understanding of NVIDIA AI platforms and GPU architectures, including GB300 NVL72, NVLink, NVSwitch, GPU clustering, AI Factory concepts, and GPU resource management.
• Hands-on experience with high-performance networking technologies, including InfiniBand, Ethernet, RoCEv2, Spectrum-X, and fabric management.
• Solid expertise with Kubernetes, OpenShift, containerized workloads, GPU orchestration platforms, and AI/ML technologies such as Kubeflow, MLflow, JupyterHub, Run:AI, Rafay, ClearML, and MLOps solutions.
• Experience with HPC workload scheduling and resource management tools such as Slurm and PBS Pro, as well as deploying and integrating high-performance storage platforms including GPFS, VAST Data, and DDN.
• Strong knowledge of cluster provisioning, system bring-up, validation, benchmarking, acceptance testing, monitoring and observability tools (Grafana, Prometheus, Loki, Icinga, NVIDIA DCGM), and NVIDIA Cluster Validation Suite (CVS).
• Proficiency in Python, Bash, Ansible, and Git, combined with excellent troubleshooting, customer-facing, documentation, workshop delivery, knowledge transfer skills, and ideally certifications in NVIDIA, Kubernetes, Red Hat, or AI infrastructure technologies.

What We Will Offer You

• An international team with a high focus on Gender Diversity.
• Employee Assistance Program, e.g., for psychological, legal financial consultancy
• You are joining a company that prioritizes sustainable solutions like CO2 Offset, Asset Recovery Services, and the Lenovo Certified Refurbished portfolio.
• Access to training for personal development - Internal E-learning Development Platform Available for Employees
• Mentorship program

Women who drive Lenovo? #Women@Lenovo – Women at Lenovo

At Lenovo we are proud to be an equal opportunity company. This vacancy certainly applies for people with disabilities, too.

We are an Equal Opportunity Employer and do not discriminate against any employee or applicant for employment because of race, color, sex, age, religion, sexual orientation, gender identity, national origin, status as a veteran, and basis of disability or any federal, state, or local protected class.