Sr Systems Engineer – AI Infrastructure

Overview

We are looking for an Sr Systems engineer with strong hands-on experience in enterprise infrastructure, including GPU-accelerated platforms, VMware, and Kubernetes. This role will support and scale infrastructure for AI/ML workloads across hybrid environments that include NVIDIA DGX, HGX, and Nutanix.

Your Impact

The essential functions of this position include:

• Support deployment and maintenance of NVIDIA DGX, HGX, and GPU-accelerated systems
• Administer VMware environments, including ESXi, vCenter, and virtual networking/storage.
• Deploy and support Kubernetes clusters across various environments and distros (e.g., RKE, OpenShift, AKS, EKS, GKE)
• Perform day-to-day system administration across compute, storage, and networking layers
• Automate infrastructure tasks using Shell scripts, Ansible, or similar tools
• Collaborate with DevOps, data science, and engineering teams to ensure scalable, resilient infrastructure for AI/ML workloads
• Monitor infrastructure health and performance; participate in troubleshooting and root cause analysis

Qualifications

• Min 6 years of experience in systems engineering or enterprise infrastructure roles
• Experience with NVIDIA DGX, HGX, or other GPU-based compute platforms
• Strong working knowledge of VMware virtualization technologies
• Proficient with Kubernetes and experience managing multiple distributions (e.g., RKE, OpenShift, AKS, EKS)
• Understanding of enterprise storage, networking, and system monitoring tools
• Working knowledge of Mellanox (NVIDIA) networking and InfiniBand environments
• Understanding of RDMA and high-speed interconnects is a plus
• Experience with High Availability (HA), clustering, and failover technologies
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