Platform Power Thermal Performance Engineer
Core
Graduate engineer validating and optimizing GPU-as-I/O-device performance on AI server platforms, analyzing CPU host, memory, storage, and network interactions.
Role type
Graduate platform performance engineer (AI infrastructure)
Builds
AI server reference designs and customer-oriented systems
Domain
AI infrastructure, server architecture, high-performance computing
Deliverable
production ML models
Required skills
computer architecture fundamentals, operating systems, I/O subsystem behavior, benchmark methodology, data analysis, scripting (Python/C/C++/shell), Linux development
Preferred skills
GPU computing basics, parallel programming, CUDA/ROCm/OpenCL/SYCL, PCIe/CXL/coherency/IOMMU/NUMA concepts, cluster-scale design, performance bottleneck analysis, machine learning workloads
Responsibilities
Execute performance experiments and analyze results for CPU host and GPU I/O, debug performance issues from the host platform perspective, document technical observations, support issue closure under guidance
Seniority
Entry-level, graduate
