Fellow, Platform Power Management Architect - AMD Instinct GPUs

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The Role AMD is seeking a Platform Power Management Architect to define and drive end‑to‑end power architecture for AMD Instinct data center GPU platforms. This role is responsible for system‑level power strategy, spanning silicon capabilities, board‑level power delivery, firmware, Linux power management, and rack‑scale deployment considerations. The architect will work cross‑functionally with silicon, firmware, platform hardware, Linux kernel/ROCm software, and data center system teams to optimize performance per watt, ensure power integrity and reliability, and deliver accurate power projections for current and next‑generation Instinct platforms.

Exposure to scale‑up or scale‑out networking fabrics is highly desirable.

Key Responsibilities Platform Power Architecture Define the end‑to‑end power management architecture for AMD Instinct data center GPUs, spanning silicon, package, board, system, and rack levels.

Own platform‑level power concepts including power states, power limits, throttling policies, telemetry, and power‑performance trade‑offs.

Act as the technical authority for power‑related architectural decisions across multiple Instinct programs.

Power Delivery & Rail Optimization Lead power rail architecture and optimization, including rail partitioning, sequencing, voltage/frequency domains, and efficiency trade‑offs.

Partner with hardware and silicon teams to optimize VR efficiency, transient response, and steady‑state power delivery under AI/HPC workloads.

Influence silicon and platform features to improve power scalability and robustness across SKUs and deployment configurations.

Linux & Software Power Management Define requirements and architecture for Linux‑based power management, including interactions with kernel frameworks, drivers, firmware, and ROCm components.

Collaborate with software teams on power telemetry, control interfaces, policy enforcement, and observability.

Ensure alignment between platform power capabilities and software‑visible controls for data center operators.

Solid understanding of RTPM, ACPI and Suspend to Idle / S0ix flows.

Power Modeling & Projections Develop and own power projection methodologies for GPUs, platforms, and multi‑GPU systems across representative workloads.

Provide power projections and sensitivity analyses to support product planning, system design, customer engagements, and thermal/rack planning.

Validate projections against lab data and silicon characterization results, closing gaps between model and reality.

System & Fabric Awareness Incorporate scale‑up (e.g., high‑bandwidth GPU interconnects) and scale‑out (e.g., networking fabrics) considerations into platform power strategy.

Understand and influence the power impact of interconnects, NICs, switches, and fabric topologies in large GPU clusters.

Partner with fabric and system architects to ensure coherent power budgeting at node and rack scale.

Cross‑Functional Leadership Drive alignment across silicon, firmware, hardware, Linux, ROCm, platform, and data center solution teams.

Produce clear architectural documentation, power models, and executive‑level summaries.

Represent platform power architecture in technical reviews with senior leadership and external partners.

Required Qualifications Expert-level background in platform, system, or silicon architecture with significant focus on power management.

Strong understanding of power delivery networks (PDN), voltage regulation, rail…