AI Datacenter System Management Architect

Advanced Micro Devices, Inc.

Santa Clara (CA)

Hybrid

USD 180,000 - 240,000

Full time

5 days ago
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Job summary

Advanced Micro Devices, Inc. is seeking an AI Instinct System Management Architect to 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 infrastructure at rack and pod scale. This position requires deep technical expertise, customer engagement, and the ability to own reference designs and blueprints for

Qualifications

  • Expert background in systems or platform software architecture with focus on system management and server manageability.
  • Deep knowledge of DMTF standards (MCTP, PLDM, SPDM, Redfish) and secure management networking.
  • Experience with PCIe, CXL, NVMe interconnects and cluster schedulers (Kubernetes, Slurm).

Responsibilities

  • Define and drive the architecture for system management and observability across AMD's AI datacenter platforms.
  • Own reference designs and integration guides for deploying and operating system management at scale.
  • Develop standards-based interfaces and telemetry frameworks for compute, storage, networking, and accelerators at rack and pod scale.
  • Enable discovery, provisioning, firmware upgrades, and decommissioning workflows across racks and pods.
  • Collaborate with customers to align with DCIM/ITSM environments and lead proofs-of-concept.
  • Produce architectural collateral and documentation for customer readiness.

Skills

System architecture
Server manageability
DMTF standards
Kubernetes & Slurm
C/C++ & Python

Tools

Linux

Job description

Advanced Micro Devices, Inc. is seeking an AI Instinct System Management Architect to 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 infrastructure at rack and pod scale. This position requires deep technical expertise, customer engagement, and the ability to own reference designs and blueprints for

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