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About This Role
- Nowadays, the development of Deep Learning has set off computing power competition all over the world.
- The goal of our department is to analyze various silicon chips, track their deep learning performance, predict future industry trends, set roadmap design goals for the silicon team, and provide in-depth recommendations for performance optimization.
- Your job mainly includes: Perform large-scale benchmarks for competitive analysis and comparative analysis.
- Design tools to automate product definitions, data collection, test case execution, and results analysis.
- Provide detailed data analysis of functionality, performance, and latency.
- Research new architectural features for next generation GPU, CPU and SOC to follow the latest silicon design.
- Tackle multi-variable problems via system level modeling, testing and characterization, trend analysis/projection, and model verification.
- Brings depth and expertise in performance-per-watt analysis.
Nice to Have
- Minimal 3 days per week are expected Architectural knowledge of CPU, GPU or SoC Familiar with distributed training / inference Knowledge of Flops/Memory BW test, mix precision, Op fusion, graph optimization Expertise on LLM/AIGC, such as LLaMA/DeepSeek/Kimi/Qwen is strong plus.
Sourced directly from Intel’s career page
Your application goes straight to Intel.
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Specialisation
Open roles at Intel
762 positions
Job ID
/job/PRC-Shanghai/AI-Performance-Engineer-Intern_JR0283190
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