Director, Supply Chain Engineering

About Nscale Nscale is the GPU cloud engineered for AI. We provide cost-effective, high-performance infrastructure for AI start-ups and large enterprise customers. Nscale enables AI-focused companies to achieve superior results by reducing the complexity of AI development. Our GPU cloud bolsters technical capabilities and directly supports strategic business outcomes, including cost management, rapid innovation, and environmental responsibility. We thrive on a culture of relentless innovation, ownership, and accountability, where every team member takes pride in their work and drives it with excellence and urgency. As an Nscaler, you’ll build trust through openness and transparency, where everyone is inspired to do their best work. If you join our team, you’ll be contributing to building the technology that powers the future. About The Role We’re hiring a Director, Supply Chain Engineering to build the systems that take Nscale from demand signal to deployed compute. This role sits within Corporate Technology and reports to the SVP, Corporate Technology, partnering closely with Data Center and AI Infrastructure teams, as well as Finance, Procurement, and Operations. You’ll design, build, and deploy the systems, platforms, and workflows spanning demand signal, hardware configuration and BOM development, supplier and ODM coordination, logistics and staging, spare inventory management, and more. You won’t run supply chain operations or own procurement—you’ll work alongside those owners and own how the work is represented in software. Success means this work runs on systems rather than spreadsheets. Teams will work from shared, accurate data, changes will propagate without manual chasing, and routine coordination will be handled through automation and agentic workflows. Your work will directly determine how quickly Nscale can turn hardware into live compute. What you'll be doing Platform Ownership & Roadmap Own the supply chain technology stack end to end, including strategy, implementation, platform health, configuration, integrations, upgrades, and roadmap planning. Identify capability gaps and lead the evaluation, procurement, and implementation of new tools. Build and maintain a templated, repeatable deployment model for supply chain systems across data centers and regions. Integration & Data Architecture Define and govern integration architecture across supply chain, finance, procurement, logistics, and infrastructure platforms. Ensure reliable data exchange and auditability across connected systems. Collaboratively define the data model and maintain data integrity across platforms. Design workflows that connect each stage of the supply chain so one team’s output becomes another team’s reliable input. Automation & Workflow Engineering Build systems and workflows spanning demand signals, hardware configuration, BOM development, supplier and ODM coordination, logistics, staging, and spare inventory management. Replace spreadsheet-based processes and manual coordination with scalable systems, automation, and agentic workflows. Ensure changes propagate across teams and systems without unnecessary manual intervention. Stakeholder & Vendor Management Serve as the primary technology partner for supply chain technology across Data Center, AI Infrastructure, Finance, Procurement, and Operations. Manage competing demands across teams and regions while maintaining clear priorities and governance. Own vendor relationships, contract performance, and platform renewals for purchased systems and services, applying a total-cost-of-ownership lens. Align cross-functional stakeholders around shared standards and scalable ways of working. KPIs Adoption of shared systems over spreadsheet-based processes Accuracy and integrity of cross-platform supply chain data Reliability of integrations and change propagation Speed from hardware demand signal to live compute What You Must Bring 10+ years of experience in supply chain technology, enterprise system…

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