Note: The job is a remote job and is open to candidates in USA. Lenovo is a global leader in AI infrastructure, high-performance compute platforms, and data centre technology. The Technical Consultant will lead the deployment, integration, validation, and support of large-scale HPC and AI infrastructure solutions, while supporting bid management and transitioning pre-sales commitments into executable customer projects. The role works with customers, partners, and project teams across the technology stack from data center infrastructure and networking to Kubernetes, AI orchestration, MLOps, and GPU resource management.

Responsibilities

• These PODs will operate as dedicated delivery teams responsible for the end-to-end deployment, integration, validation, and customer handover of AI Factory and NeoCloud environments
• The Technical Consultant will be responsible for the deployment, integration, validation, and support of large-scale HPC and AI infrastructure solutions
• The consultant will work closely with customers, partners, and project teams to deliver successful HPC and AI deployments from initial installation through production handover and operational readiness
• Applicant must possess strong customer interaction skills and ability to make technical decisions
• Collaborate during projects with several organization verticals, partners, and customers
• Develop training and knowledge base documentation for technical skills throughout career

Skills

• Applicant must possess strong customer interaction skills and ability to make technical decisions
• Strong Linux administration experience (RHEL, Rocky Linux, Ubuntu, 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 and 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, 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 with experience delivering workshops, technical documentation, deployment runbooks, and knowledge transfer sessions
• Experience with NVIDIA AI Factory deployments and enterprise AI infrastructure
• Knowledge of GPFS, VAST, 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, MLOps
• NVIDIA, Kubernetes, Red Hat, or AI infrastructure certifications

Benefits

• Individuals may also be considered for bonuses and/or commissions.
• REMOTE ROLE anywhere in the U.S.
• A multitude of professional and personal opportunities.
• An open and stimulating environment within one of the most forwarding thinking IT companies.
• 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.

Company Overview

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