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Role Overview 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.
Key Priorities - 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.
Required Qualifications - Expert background in systems or platform software architecture with focus on system management and server manageability.
- Deep expertise in BMC firmware stacks, telemetry, inventory, alerting, and management protocols.
- Strong knowledge of DMTF standards (MCTP, PLDM, SPDM, Redfish), platform security, and management networking.
- Experience with PCIe, CXL, NVMe interconnects and cluster schedulers (Kubernetes, Slurm).
- Proven ability to combine technical leadership with customer engagement for scalable AI datacenter deployments.
Preferred Qualifications - Experience with GPU/accelerator platforms
- Familiarity with telemetry stacks (Prometheus, Loki, ELK, OpenTelemetry).
- Knowledge of datacenter infrastructure components (racks, PDUs, power/thermal systems, fabric networking).
- Contributions to open standards or open-source projects related to manageability or observability.
- Strong programming skills in C/C++ and Python/Go; solid Linux systems experience.
Location: Santa Clara, CA
This position is not eligible for Visa sponsorship#LI-BW2
#LI-HYBRID
Benefits offered are described: AMD benefits at a glance.
AMD does not accept unsolicited resumes from headhunters, recruitment agencies, or fee-based recruitment services. AMD and its subsidiaries are equal opportunity, inclusive employers and will consider all applicants without regard to age, ancestry, color, marital status, medical condition, mental or physical disability, national origin, race, religion, political and/or third-party affiliation, sex, pregnancy, sexual orientation, gender identity, military or veteran status, or any other characteristic protected by law. We encourage applications from all qualified candidates and will accommodate applicants' needs under the respective laws throughout all stages of the recruitment and selection process.
AMD may use Artificial Intelligence to help screen, assess or select applicants for this position. AMD's "Responsible AI Policy" is available here.
This posting is for an existing vacancy.
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