Advisory Engineer, AI Cluster Network Automation & Operations

Lenovo Inc.; Morrisville (NC); Hybrid; USD 120,000 - 190,000; Full time

Job summary

Lenovo in Morrisville, NC is seeking a senior Advisory Engineer to design and implement automation for AI cluster networks and large-scale HPC infrastructure. You will automate deployment, validation, and ongoing operations across GPUs, NICs/DPUs, switches, and management networks, with emphasis on scalable, API-driven workflows.

The role requires hands-on engineering across hardware, OS, and infrastructure software, with strong programming in Python or Go and experience with Ansible.

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.

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.
• 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.
• 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.

Skills

Python

Go

C/C++

Education

BS/MS in Computer Science/Computer Engineering/Electrical Engineering

Tools

Ansible

NetBox

Job description

* 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

Advisory Engineer, AI Cluster Network Automation & Operations

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

Position 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 high-performance data-center networking hardware, including NICs, DPUs, Ethernet switches, and/or InfiniBand switches.
• 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.

**This is a hybrid role based in Morrisville, NC, requiring three days in office and allowing two days remote each week.

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.

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

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