Server Performance Architect - Hardware

Responsibilities

• Defining and driving server-level performance targets across CPU, GPU, memory, interconnect, networking, and storage subsystems
• Conducting hands-on workload characterisation and bottleneck analysis on NVIDIA and competitive server platforms using AI training, inference, and HPC benchmarks
• Leveraging profiling, tracing, and analysis tools to root-cause performance issues and identify optimisation opportunities at the system level
• Performing trade-off studies on system topology, thermal/power envelopes, and memory hierarchy to guide architectural decisions
• Collaborating with silicon, platform, firmware, and software teams to identify and close performance gaps from bring-up through production
• Developing automation and tooling for performance regression tracking and reporting
• Representing the performance perspective in architecture reviews and cross-functional design discussions
• Building and maintaining analytical performance models and simulation frameworks for next-generation server platforms
• Publishing internal performance studies and best-practice guides for partner and customer enablement
• What we need to see

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