Applied AI Engineer, Product Convergence and Closure

这是一个在英伟达（NVIDIA）上海办公室的AI应用工程师职位，专注于使用AI技术（尤其是大语言模型）重构芯片产品化的工具链

Build the infrastructure that turns raw simulation data (power, noise, binning yields, and more) into real firmware tuning, product specs, and manufacturing limits. You own the pipelines between tools. Use LLMs and agents across the toolchain to automate the analysis, validation, and reporting work that currently costs engineering countless hours per chip. Build the observability and validation systems that catch data errors and inconsistencies before they turn into release blockers. Work with product convergence, silicon architecture, firmware, and manufacturing teams to translate new hardware requirements and capabilities into workflows that make it to production.

Silicon product proficiency (speed, power, voltage noise, binning); MCP, DSPy, or LLM evaluation frameworks; Perl interop for legacy chip-data workflows; have crafted dashboards and visualizations for diverse collaborators.