$ cat jobs/lead-gpu-cluster-solutions-architect-orion-placement-7b0d641385ca.json
Lead GPU Cluster Solutions Architect
Pay: $140,000.00 - $240,000.00 per year Why This Is a Great Opportunity Own the technical architecture behind next-generation GPU and AI compute deployments. Design sophisticated GPU clusters from client requirements through production-ready architecture. Work directly with NVIDIA Reference Architecture, high-speed networking, storage, connectivity, and availability strategy. Solve challenging infrastructure problems where performance, reliability, power, cooling, and hardware constraints all matter. Have significant technical ownership over designs supporting enterprise and neocloud deployments. Collaborate closely with deployment, data center, supply chain, and program leadership to turn architecture into real-world infrastructure. Join a fast-growing AI infrastructure environment where your technical decisions directly impact customer outcomes. Competitive bonus and equity opportunity in addition to base compensation. Location : Remote nationwide, with preference for candidates based in the US. Travel to data center partner sites is required. Note : Must have 7+ years of directly relevant experience in solutions architecture, network engineering, or systems engineering supporting GPU, HPC, or large-scale compute infrastructure. Candidates must have hands-on GPU cluster design experience plus strong InfiniBand, RoCE, or high-speed Ethernet networking expertise. Generic cloud architecture or enterprise networking experience without meaningful GPU/HPC infrastructure exposure will not meet the requirements. About Us We are building next-generation AI infrastructure that gives enterprises access to high-performance GPU compute with speed, flexibility, and reliability. Our technical teams design and deploy sophisticated GPU clusters across data center environments, and we are looking for an architect who can turn demanding customer requirements into robust, buildable infrastructure. Confidential Employer. Job Description Own end-to-end technical architecture for GPU cl