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AMD · 2 weeks ago

AI Instinct System Management Architect

Austin, TX

Full-time

Onsite

Senior Level

$196K/yr - $293K/yr

AMD is a company dedicated to building innovative products for next-generation computing experiences. The AI Instinct System Management Architect will lead the architecture for system management and observability across AMD’s AI datacenter platforms, focusing on developing scalable and secure infrastructure.

AI InfrastructureArtificial Intelligence (AI)Cloud ComputingComputerEmbedded SystemsGPUHardwareSemiconductor

Growth Opportunities

No H1B

Responsibilities

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

Qualification

System management architectureBMC firmware stacksDMTF standardsPCIeCXLNVMeProgramming in C/C++Programming in Python/GoTelemetry stacksDatacenter infrastructure knowledgeCustomer engagementTechnical leadership