AI Instinct System Management Architect

What you'll do

• Define and drive the architecture for system management and observability across AI datacenter platforms.
• Develop a unified architecture for rack-scale and pod-scale management from firmware to orchestration layers.
• Deliver manageability solutions including BMC/BSP, rack/pod controllers, and APIs.
• Develop standards-based interfaces and telemetry frameworks using Redfish and DMTF protocols.
• Enable lifecycle management workflows for discovery, provisioning, firmware upgrades, and decommissioning across racks.
• Collaborate with customers to align designs with DCIM/ITSM environments and lead proof-of-concepts.
• Produce architectural collateral, reference designs, and integration guides for customer readiness.
• Influence product strategy by developing customer-backed roadmaps optimized for AI workloads.

What we're looking for

• Expert background in systems or platform software architecture with a 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 like Kubernetes or Slurm.
• Proven ability to combine technical leadership with customer engagement for scalable AI datacenter deployments.
• Experience with GPU/accelerator platforms (preferred).
• Familiarity with telemetry stacks such as Prometheus, Loki, ELK, or OpenTelemetry (preferred).
• Strong programming skills in C/C++ and Python/Go with solid Linux systems experience (preferred).