Job Description:
• Design, automate, validate, and deliver the complete lifecycle of customer compute environments, from provisioning through upgrades, recovery, and decommissioning
• Use AI to automate and accelerate infrastructure delivery and operations
• Provision dedicated Kubernetes and Slurm clusters tailored to customer workloads
• Build and maintain Linux images and automated OS-provisioning workflows
• Operate the NVIDIA GPU stack, including drivers, GPU Operator, NVIDIA Container Toolkit, device plugins, MIG, and GPU monitoring
• Design Kubernetes and data-center networking using Cilium/Calico, MetalLB, VLAN, VXLAN, BGP, and ECMP
• Configure distributed and shared storage for high-performance workloads
• Build monitoring, alerting, diagnostics, and automated recovery for customer environments
• Develop reusable tooling, standards, documentation, and runbooks
• Collaborate with customers and internal teams to translate workload requirements into infrastructure designs
Requirements:
• 5+ years of experience building and operating production Linux infrastructure
• Strong production experience with Kubernetes on bare metal, including bootstrapping, upgrades, HA control planes, etcd, containerd, CNI, CSI, ingress, load-balancing, observability, security, and troubleshooting
• Experience with Linux virtualization: KVM/QEMU, libvirt, and VFIO device passthrough
• Experience operating NVIDIA GPUs on Linux and Kubernetes, including drivers, container runtimes, device plugins, GPU Operator, and GPU telemetry
• Strong networking fundamentals: TCP/IP, L2/L3, VLANs, routing, and packet-level troubleshooting with tcpdump and Wireshark
• Practical scripting experience
• Experience with configuration-management tools such as Ansible
• Ability to diagnose complex, cross-layer infrastructure issues
• Strong communication and ability to drive technical decisions across teams
• Track record of moving quickly, taking ownership, and continuously improving systems
• Legally authorized to work in the United States
• Nice-to-have: Production Slurm experience
• Nice-to-have: High-performance networking experience with NVLink/NVSwitch, InfiniBand, RoCEv2, GPUDirect RDMA, NCCL, or IMEX
• Nice-to-have: Hugepages, NUMA, CPU pinning, SR-IOV, DPDK, Ceph, Lustre, Weka, KubeVirt, OpenStack, IPsec, WireGuard, Tailscale, VXLAN, BGP, ECMP, BMC, IPMI, Redfish, PXE/iPXE, Kickstart, cloud-init, NetBox, Nautobot, Nornir, AI training/inference/distributed GPU workload infrastructure, or Python/Go proficiency
Benefits:
• Equity
• Salary range of $180K–$250K