The AI Instinct System Management Architect will define and drive the architecture for system management and observability across AMD’s AI datacenter platforms. This role spans firmware, operating systems, rack controllers, and orchestration layers to deliver highly manageable, composable, and secure infrastructure at rack and pod scale. It combines deep technical expertise with customer engagement, owning reference designs and blueprints for deploying, integrating, and operating system management at scale.

Architect Scalable System Management: Develop a unified architecture for rack-scale and pod-scale management, ensuring seamless integration from device-level firmware to orchestration layers.

Industry Leadership: Benchmark against competitors, track emerging standards, and propose innovative features to position AMD as a leader in AI datacenter manageability.

Integration & Interoperability: Ensure compatibility with industry standards (Redfish, DMTF profiles) and customer monitoring stacks for observability and analytics. Define and deliver manageability solutions (BMC/BSP, rack/pod controllers, APIs) ensuring coherent architecture from device to orchestration. Develop standards-based interfaces and telemetry frameworks (Redfish, DMTF) for compute, storage, networking, and accelerators at scale.

Rack-Scale Lifecycle Management: Enable discovery, provisioning, firmware upgrades, and decommissioning workflows across racks and pods. Collaborate with customers and partners to align with DCIM/ITSM environments, validate designs, and lead proof-of-concepts. Produce architectural collateral and documentation, including reference designs, integration guides, and telemetry baselines for customer readiness. Influence product strategy with customer-backed roadmaps optimized for AI workloads.