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Commercial Counsel will draft, negotiate, and manage enterprise, technology, vendor, partnership, infrastructure, and other commercial agreements. The role advises Sales, Business Development, Finance, Operations, Engineering, and leadership on deal structure, risk, regulatory, privacy, intellectual property, and operational issues. The attorney will also build contract processes, playbooks, and scalable legal frameworks for an AI infrastructure company.

Architect and operate high-performance computing network infrastructure for large GPU clusters worldwide. Responsibilities include designing Ethernet/RoCEv2 and InfiniBand networks, implementing CLOS and fat-tree architectures, automating zero-touch provisioning, participating in on-call support, troubleshooting incidents, documenting systems, mentoring junior engineers, and supporting cluster deployments at scale.

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.

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.