AI/HPC Implementation Technical Consultant
About The Position
Lenovo is seeking an experienced Technical Consultant for its Lenovo Infrastructure Deployment Services (LIDS) team. The role combines technical delivery leadership with bid management support, helping ensure pre-sales commitments, commercial assumptions, delivery risks, and implementation plans are understood, validated, and transitioned into executable customer projects. The consultant will deploy, integrate, validate, and support large-scale HPC and AI infrastructure solutions, working across data center infrastructure, networking, storage, Kubernetes, AI orchestration, MLOps, GPU resource management, and workload optimization. The role supports projects from initial installation through production handover and operational readiness, including AI Factory and NeoCloud environments, liquid-cooled GPU clusters, accelerated compute environments, and AI-ready data center platforms. The position is part of North American deployment teams, with projects primarily in North America and occasional worldwide work. The teams deliver end-to-end deployment, integration, validation, and customer handover. The consultant works closely with customers, partners, and project teams, participates in weekly collaborative planning calls and meetings, and develops training and knowledge-base documentation throughout their career. This is a remote role anywhere in the U.S.
Requirements
- Strong Linux administration experience with RHEL, Rocky Linux, Ubuntu, or SLES in enterprise, HPC, and AI environments.
- Experience deploying and supporting HPC and AI clusters.
- Knowledge of NVIDIA AI platforms and architectures, including GB300 NVL72, NVLink, NVSwitch, GPU clustering, and AI Factory concepts.
- Experience with high-performance networking technologies, including InfiniBand, Ethernet, RoCEv2, Spectrum-X, and fabric management.
- Experience with Kubernetes, OpenShift, containerized workloads, and GPU orchestration platforms.
- Familiarity with HPC workload scheduling and resource-management platforms such as Slurm and PBS Pro.
- Experience deploying and integrating high-performance storage solutions for HPC and AI workloads.
- Experience with cluster provisioning, system bring-up, validation, performance benchmarking, and acceptance testing.
- Knowledge of monitoring and observability tools such as Icinga, Grafana, Prometheus, Loki, and NVIDIA DCGM.
- Automation and scripting experience using Python, Bash, Ansible, and Git.
- Strong troubleshooting skills across compute, networking, storage, Kubernetes, and AI software stacks.
- Excellent customer-facing skills and experience delivering workshops, technical documentation, deployment runbooks, and knowledge-transfer sessions.
- Strong customer interaction skills and ability to make technical decisions.
Nice To Haves
- Experience with NVIDIA AI Factory deployments and enterprise AI infrastructure.
- Knowledge of GPFS, VAST, or DDN Data storage platforms.
- Experience with NVIDIA Cluster Validation Suite (CVS).
- Familiarity with Kubeflow, MLFlow, JupyterHub, or similar AI/ML platforms.
- Experience with direct liquid-cooled infrastructure.
- Knowledge of AI platform technologies including Run:AI, Rafay, ClearML, and MLOps.
- NVIDIA, Kubernetes, Red Hat, or AI infrastructure certifications.
Responsibilities
- Deploy, integrate, validate, and support large-scale HPC and AI infrastructure solutions.
- Deliver customer projects from initial installation through production handover and operational readiness.
- Support AI Factory and NeoCloud deployments, including large-scale GPU clusters and integrated infrastructure solutions.
- Help validate and transition pre-sales commitments, commercial assumptions, delivery risks, and implementation plans into executable customer projects.
- Collaborate with customers, partners, project teams, and organizational groups to make technical decisions and deliver projects.
- Perform cluster provisioning, system bring-up, validation, performance benchmarking, and acceptance testing.
- Troubleshoot issues across compute, networking, storage, Kubernetes, and AI software stacks.
- Deliver workshops, technical documentation, deployment runbooks, and knowledge-transfer sessions.
- Develop training and knowledge-base documentation for technical skills.
- Participate in weekly collaborative planning calls and meetings.
Benefits
- A multitude of professional and personal opportunities.
- An open and stimulating environment within a forward-thinking IT company.
- Flat structures and fast decision-making processes.
- A modern and flexible way of working to combine personal and professional life.
- An international team with a high focus on diversity.
- Potential consideration for bonuses and/or commissions.
- Lenovo benefits; specific benefits are not listed in the posting.
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Education Level
No Education Listed
