Advisory Engineer, AI Cluster Network Automation & Operations

Lenovo; Morrisville (NC); On-site; USD 120,000 - 180,000; Full time

Job summary

Lenovo in Morrisville, NC, is seeking an Advisory Engineer to advance AI cluster network automation and operations. You will design and implement automated deployment, validation, and management workflows for large‑scale AI/HPC systems across GPU nodes, NICs, DPUs, switches, and management networks.

The role requires strong Python/Go skills, experience with Ansible, and deep networking know‑how, plus the ability to integrate automation with cluster provisioning and telemetry for reliable,

Qualifications

• BS/MS in computer science, engineering, or related field.
• 8+ years in networking, automation, Linux systems, or AI infrastructure.
• Strong programming skills in Python/Go/C/C++ and experience with Ansible.

Responsibilities

• Design and develop automation for AI cluster network deployment and configuration.
• Automate switch, NIC/DPU, and host-network configuration.
• Develop workflows for cluster bring-up, deployment, validation, and readiness.
• Automate network topology discovery and validation checks.
• Build reusable configuration templates and automation components.
• Integrate automation with cluster provisioning and telemetry.

Skills

Python

Go

C/C++

Linux

Ansible

APIs/Automation

Networking (Ethernet/IP)

Troubleshooting

Education

BS/MS in Computer Science, Computer Engineering, Electrical Engineering, or related field

Tools

NetBox

Kubernetes

Prometheus

Grafana

OpenTelemetry

Redfish/OpenBMC

Job description

Advisory Engineer, AI Cluster Network Automation & Operations

General Information

WD00108203

Career area:

Hardware Engineering

Country/Region:

United States of America

State:

North Carolina

City:

Date:

Working time:

Full-time

Additional Locations

Additional Locations:
* United States of America - North Carolina - Morrisville

* United States of America

* United States of America - North Carolina

* United States of America - North Carolina - Morrisville

Why Work at Lenovo

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

Job Title: Advisory Engineer, AI Cluster Network Automation & Operations

Job Type: Development Engineer
Band: 8
Employment Type: Full-Time
Location: Morrisville, NC

Role Overview

We are seeking a senior, hands‑on engineer to develop network automation and cluster operations capabilities for large‑scale AI and HPC infrastructure. This role will focus on automating network configuration, bare‑metal cluster deployment, infrastructure validation, and operational workflows across GPU‑based compute environments. The engineer will contribute to ACTOR and the broader cluster management and validation framework, working across GPUs, NICs/DPUs, switches, management networks, infrastructure APIs, configuration management, monitoring, provisioning, and cluster validation.

The ideal candidate has experience building automation for large‑scale datacenter environments and is comfortable working across hardware, networking, operating systems, and infrastructure software to deploy, validate, and operate AI/HPC clusters at scale.

Key Responsibilities

• Design and develop automation for AI cluster network deployment and configuration.
• Automate switch, NIC/DPU, and host‑network configuration.
• Develop workflows supporting cluster bring‑up, deployment, validation, and operational readiness.
• Automate network topology discovery, connectivity validation, and configuration consistency checks.
• Build reusable configuration templates and infrastructure automation frameworks.
• Integrate network automation with cluster provisioning, health monitoring, and lifecycle management workflows.

2. AI/GPU Cluster Operations

• Develop capabilities to automate bare-metal server and GPU-node discovery, provisioning, configuration, health checks, operational validation, and lifecycle management.
• Develop and maintain workflows for bare-metal infrastructure deployment and validation across large‑scale AI/HPC clusters.
• Support GPU drivers, NIC/DPU drivers, firmware, operating system, and infrastructure software configuration workflows.
• Develop automated diagnostics and root‑cause analysis workflows for cluster hardware, networking, and software issues.
• Integrate GPU health, network health, topology, inventory, telemetry, and infrastructure state into cluster‑management workflows.
• Develop automation supporting cluster readiness, operational qualification, and ongoing validation at scale.

3. Automation Software Development

• Develop automation primarily using Python and/or Go.
• Build REST/API‑driven integrations with network, compute, storage, and infrastructure management platforms.
• Develop Ansible roles/playbooks and reusable automation components where appropriate.
• Integrate automation into CI/CD and cluster‑management frameworks.
• Design error handling, rollback, telemetry, logging, and validation mechanisms for infrastructure automation.
• Develop scalable automation capable of supporting hundreds to thousands of servers and network endpoints.

Required Qualifications

• BS/MS in Computer Science, Computer Engineering, Electrical Engineering, or related field.
• 8+ years of experience in networking, infrastructure automation, distributed systems, Linux systems, data‑center engineering, AI infrastructure, or HPC environments.
• Strong programming skills in Python, Go, C/C++, or similar languages.
• Experience with configuration‑management and automation technologies such as Ansible.
• Strong understanding of Ethernet/IP networking and modern data‑center network architectures.
• Experience automating physical infrastructure using APIs, scripting, infrastructure‑as‑code, or configuration‑management frameworks.
• Experience supporting or automating bare-metal server deployment, provisioning, configuration, and validation workflows.
• Understanding of server architecture, NICs, DPUs, switches, BMCs, operating systems, and infrastructure management platforms.
• Strong troubleshooting and root‑cause‑analysis skills.
• Experience working in large‑scale data‑center, AI infrastructure, HPC, hyperscale, cloud service provider (CSP), or NeoCloud environments.

Preferred Qualifications

• Experience with InfiniBand and/or RoCE networking technologies.
• Experience with datacenter networking hardware including NICs, DPUs, Ethernet switches, and/or InfiniBand switches, including technologies from NVIDIA, AMD, Broadcom, Cisco, Arista, Juniper, Dell, HPE, or similar vendors.
• Experience with AI, GPU, HPC, or accelerated‑computing clusters at scale.
• Experience with NVIDIA ConnectX, BlueField, Spectrum, Spectrum‑X, or comparable high‑performance networking technologies.
• Experience with Redfish, OpenBMC, BMC APIs, and bare‑metal infrastructure automation.
• Experience with NetBox or another DCIM/source‑of‑truth platform.
• Experience with Kubernetes, Slurm, or comparable cluster‑management systems.
• Experience with Prometheus, Grafana, OpenTelemetry, or similar infrastructure telemetry systems.
• Familiarity with GPUDirect RDMA, NCCL, distributed AI communication frameworks, or large‑scale AI training/inference environments.
• Experience building infrastructure automation for hundreds or thousands of servers, GPUs, and network endpoints.
• Experience with CSP, hyperscale, NeoCloud, AI infrastructure, HPC, or large‑scale data‑center environments.

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.