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Own enterprise customer support for GPU and AI infrastructure. Triage compute, networking, scheduling, orchestration, performance, hardware, and facility issues using monitoring tools. Respond to incidents, coordinate escalations with engineering and vendors, communicate clearly under pressure, and improve runbooks, SOPs, knowledge bases, and support processes. Participate in 24/7 shift coverage, including occasional after-hours, weekend, and holiday incident support.

Own end-to-end deployment of signed compute partnerships, coordinating Engineering, GTM, customers, and providers through contract handoff, site readiness, hardware delivery, rack-and-stack, cluster bring-up, validation, and go-live. Manage concurrent GPU deployments, define milestones and acceptance criteria, track blockers, report status, and reconcile Bills of Materials against contracted technical specifications.

Manage and grow relationships with GPU providers and datacenter operators, source and onboard new compute capacity, negotiate long-term supply agreements, coordinate onboarding with engineering, monitor performance and risks via KPIs, and drive pipeline reporting and sales collateral for provider partnerships.

Build high-fidelity, polished frontend interfaces with attention to visual detail, motion, interaction design, and performance. Partner with product and design to turn ideas into shippable experiences, make scalable frontend architecture decisions, mentor engineers, and grow into broader product ownership.

As an HPC/GPU Cluster Architect, you will design, architect, and scale GPU clusters, ensuring performance and reliability while automating fleet operations and mentoring junior engineers.