[Hiring] AI/HPC Implementation Technical Consultant @Lenovo

Role Description

REMOTE ROLE anywhere in the U.S.

Lenovo is looking for an experienced Technical Consultant to join its LIDS team. The role will combine complex technical delivery leadership with bid management support, ensuring that pre-sales commitments, commercial assumptions, delivery risks, and implementation plans are clearly understood, validated, and transitioned into executable customer projects.

The increasing demand for AI infrastructure projects, including large-scale AI Factory environments and NeoCloud clusters, requires a scalable delivery model that can consistently execute multiple deployments in parallel while maintaining quality and customer satisfaction.

This role offers the opportunity to deploy large-scale, complex AI infrastructure & HPC deployments, including:

• Liquid-cooled GPU clusters
• Accelerated compute environments
• AI-ready data center platforms
• Integrated infrastructure solutions for some of Lenovo’s most strategic global customers

You will be part of a global HPC team supporting customers and deploying projects primarily in the North American region but on occasion worldwide. You will participate in weekly collaborative planning calls and meetings.

Qualifications

• 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.

Requirements

• 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.

Preferred Skills

• 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

• 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.

Pay Transparency

The anticipated annual compensation range for this position is 110,600–169,510 USD. Final compensation will be based on relevant experience, skills, and business considerations. Individuals may also be considered for bonuses and/or commissions.