LIDS Technical Consultant

Lenovo; Mumbai; On-site; INR 2,500,000 - 4,200,000; Full time

Benefits offered by this job

Professional opportunities

Flexible working

Diversity-focused team

Modern working environment

Job summary

Lenovo is seeking a seasoned Technical Consultant to join the LIDS team. You will lead the deployment, integration, validation, and support of large-scale HPC and AI infrastructure, from data center hardware to AI software stacks.

The role includes bid management, project delivery, and customer handover across Asia Pacific and worldwide. You will work with Linux, Kubernetes, GPU orchestration, advanced networking, and storage technologies, while collaborating with partners, customers, and

Qualifications

• Strong Linux admin experience in enterprise, HPC, and AI environments.
• Experience deploying and supporting HPC/AI clusters.
• Knowledge of NVIDIA AI platforms and architectures (GB300 NVL72, NVLink, NVSwitch).
• Experience with InfiniBand, Ethernet, RoCEv2, Spectrum-X fabrics.
• Kubernetes/OpenShift in GPU orchestration environments.
• Familiarity with Slurm, PBS Pro for workload management.
• Experience with HPC storage solutions and GPU acceleration stacks.
• Proven cluster provisioning, bring-up, validation, and performance testing.
• Monitoring with Grafana, Prometheus, DCGM; scripting with Python/Bash.
• Customer-facing skills; workshops, docs, runbooks and knowledge transfer.

Responsibilities

• Lead complex technical delivery for HPC/AI infrastructure projects.
• Provide bid management support, validate delivery plans, and ensure smooth handover to customers.
• Deploy large-scale AI infrastructure, GPU clusters, and liquid-cooled systems.
• Coordinate with customers, partners, and internal teams across regions.
• Develop training materials and knowledge bases for technical skills.

Skills

Linux administration

HPC & AI clusters

NVIDIA AI platforms

High-performance networking

Kubernetes & OpenShift

Slurm & PBS Pro

AI storage & data centers

Cluster provisioning & validation

Monitoring: Grafana, Prometheus, DCGM

Python, Bash, Ansible, Git

Troubleshooting complex stacks

Customer-facing workshops & docs

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 .

Description and Requirements

Lenovo is a global leader in AI infrastructure, high-performance compute platforms, and data centre technology, helping customers design, deploy, and scale the next generation of accelerated computing environments. Our Lenovo Infrastructure Deployment Services (LIDS) team is committed to fostering a culture of ownership and entrepreneurship, where individuals are empowered to challenge themselves, develop their skills, and be recognised and rewarded for their contributions.

Lenovo is looking for a seasoned 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.

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 centre platforms, and integrated infrastructure solutions for some of Lenovo’s most strategic global customers.

Organisation

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

What you’ll bring/Position Requirements

The Technical Consultant will be responsible for the deployment, integration, validation, and support of large-scale HPC and AI infrastructure solutions. The role spans the full technology stack from data centre infrastructure, networking, storage, and Kubernetes platforms through to AI orchestration, MLOps, GPU resource management, and workload optimisation. 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.

Required Skills & Experience

• 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, containerised 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.

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.

What We Will Offer You:

• 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.

Additional Locations

• India - Mahārāshtra - Mumbai
• India - Mahārāshtra - Mumbai

NOTICE FOR PUBLIC

At Lenovo, we follow strict policies and legal compliance for our recruitment process, which includes role alignment, employment terms discussion, final selection and offer approval, and recording transactions in our internal system. Interviews may be conducted via audio, video, or in-person depending on the role, and you will always meet with an official Lenovo representative.

If you require an accommodation to complete this application, please contact [e-mail]