Senior AI Cluster Network Automation Engineer - Hybrid NC

Lenovo Inc.; Morrisville (NC); Híbrido; USD 120.000 - 190.000; Tempo integral

Resumo da vaga

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.

Qualificações

• 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.

Responsabilidades

• 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.

Conhecimentos

Python

Go

C/C++

Formação

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

Ferramentas

Ansible

NetBox

Descrição da vaga

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.