GPU Network Engineer

Overview In this role you will design, build, and operate high-speed network fabrics that connect GPU clusters within scalable data center environments. You will collaborate with cross-functional teams to enable GPU-to-GPU, rack-to-rack, and cluster-to-cluster communication at scale, anchoring GPU workloads on InfiniBand and RoCEv2 fabrics. The position offers hands-on work in a fast-paced, collaborative setting shaping AI and HPC infrastructure. This opportunity combines cutting-edge networking with a mission to support sustainable energy assets. Compensation / BenefitsPerformance BonusRSUsHealth Benefits401kPTOOpportunities to work with cutting-edge AI and HPC infrastructure ResponsibilitiesDesign and deploy east-west network fabrics for GPU-to-GPU, rack-to-rack, and cluster-to-cluster communication at scaleBuild and operate InfiniBand (NDR/XDR) and RoCEv2 interconnect fabrics as the primary transport for GPU cluster workloadsImplement CLOS/ECMP architectures optimized for high-bandwidth, low-latency, lossless data movement across GPU clusters Key requirements2+ years in data center or HPC networking with direct experience in GPU or AI cluster environmentsHands-on experience with GPU cluster networking: GPU-to-GPU, rack-to-rack, cluster-to-cluster fabric design and operationsDeep working knowledge of InfiniBand (NDR/XDR) and RoCEv2 as primary GPU interconnectsExperience with multi-host networking for bare metal, KVM, and KubernetesProficiency with Netbox, Netconf, and IaC tools (Ansible, Terraform)collaborativefast-pacedproblem-solvingInfiniBand (NDR/XDR)RoCEv2GPU cluster networking