Principal AI Systems Engineer - Highrise AI

Role overview

Lead hands-on deployment and integration of the systems that support large AI compute clusters, from installation through production acceptance. The work spans general-purpose servers, virtualization, storage, infrastructure services, identity, and security, followed by Tier 3 troubleshooting and optimization in production.

Responsibilities

- Deploy Linux servers, virtualization platforms, and supporting services; establish consistent infrastructure baselines across cluster environments. - Automate bare-metal provisioning, imaging, firmware management, and configuration workflows. - Implement core services such as DNS, DHCP, NTP, IPAM, and data center infrastructure management. - Deploy and tune distributed storage, including file, object, and block services; validate performance, resilience, and capacity alongside GPU systems. - Troubleshoot storage, operating system, virtualization, and infrastructure service issues, coordinating with vendors and engineering teams as needed. - Implement identity, access control, security integrations, and infrastructure automation; provide advanced escalation support and document operational procedures.

Requirements

- Deep practical experience deploying and operating Linux-based server infrastructure and virtualization platforms such as VMware, KVM, or Proxmox. - Strong knowledge of storage systems and protocols, including distributed storage and NFS or S3-compatible services. - Experience with identity and access management, including directory services, SSO, federation, and role-based access control. - Proficiency with infrastructure automation, configuration management, or infrastructure-as-code using tools such as Ansible, Terraform, or Python. - Ability to diagnose complex issues across hardware, operating systems, virtualization, storage, and infrastructure services, and to own deployment outcomes. - Strong written and verbal communication skills for collaboration with engineers, vendors, and operations teams.

Nice to have

- Experience supporting AI or HPC clusters, GPU infrastructure, or other large distributed computing environments.

Benefits and work setup

Full-time engineering role supporting infrastructure across multiple sites. Hybrid or remote arrangements depend on location. Data center travel is required for commissioning, acceptance, and complex troubleshooting, with occasional after-hours incident or maintenance support.