Principal Cloud & AI Workload Performance Analysis Engineer
Core
Define and validate competitive server CPU performance for cloud-native and AI workloads, comparing AMD EPYC against Intel, Arm, and custom hyperscaler designs to forecast product advantages.
Role type
Principal systems performance engineer (competitive analysis)
Builds
Competitive performance forecasts, validation methodologies, and technical reports for server CPU and AI system architectures.
Domain
Semiconductor / Cloud Infrastructure / AI Systems
Deliverable
dashboards & analysis
Required skills
Linux systems administration, container orchestration, hardware performance counters, system telemetry analysis, cross-ISA benchmarking, AI system throughput modeling, NUMA and memory bandwidth analysis, technical writing
Preferred skills
Arm Neoverse platform experience, hyperscaler instance benchmarking, coherent CPU-accelerator link analysis, MLCommons participation
Technologies
Linux, Containers, Kubernetes, Arm Neoverse, AMD EPYC, Intel, NVIDIA Grace, NUMA, HBM, LPDDR
Responsibilities
Define cloud-native and AI workload taxonomy for competitive analysis; Design reproducible benchmarking methods for web services and data processing; Compare AMD, Intel, Arm, and cloud-custom environments; Analyze host-CPU impact on accelerator utilization and AI system throughput; Model performance-per-watt and price-performance metrics; Translate scaling behavior into 24-36 month forecasts.
Seniority
Principal, hands-on IC with strategy & mentorship
