You will be responsible for inventing flows/methodologies and building the power estimation models/tools for GPU products and AI systems such as Nvidia DGX/HGX as well as Graphics cards and MaxQ notebooks.
Investigate multi-die technologies and come up with innovative solutions to address packaging, interconnect, physical design, electrical and thermal challenges.
Drive performance vs power analysis to enable management/marketing with meaningful product decisions and customer interaction.
As a senior team member, you will collaborate closely with other System/SW Architects, Signal Integrity /Packaging experts and Product engineers to understand product challenges and energy efficiency improvements.
What we need to see:
MSEE/MSCE, preferably PhD, or equivalent experience with a specialization in low-power-processor architectures.
Strong knowledge of energy efficient system design fundamentals and related tradeoffs from your 3+ years of relevant industry experience.
Deep understanding of processors (GPU is a plus), servers, and system-SW architectures, and their performance/power modeling techniques.
Proficiency with Python and data analysis packages like: Pandas, NumPy, PyTorch.
Exposure to industry standard Power Analysis EDA tools such as PrimePower etc a plus.
Experience with performance monitors/simulators used in modern processor architectures.
Exposure to lab setup including power measurement equipment such as scope/DAQ. Your ability to analyze board-level power issues like supply voltage, over-current etc. is helpful.
Strong interpersonal and organizational skills and the ability & desire to work as a great teammate.