Charles Wang

About Charles Wang

Lead the Silicon Power-Performance-Binning tools team using simulated/estimated power, performance, VF, Vmin, noise, and innovating new methodologies for defining future CPU/GPU/SOC products.Architect-ed and developed a few proprietary internal tools for silicon power, performance simulation to determine VMin, FMax, Tjmax, VF, Vmin, Binning, BIOS/bootloader settings for different SKUs. Work closely with SoC/CPU/GPU design teams for design feature trade-off analysis.Overlook projects roadmap and milestones; make directional decisions for feature trade-offs and priorities; improve the process for cross-functional projects across multiple departments.

Experience

1. Lead Architect, Ai Ml for Silicon Engineering

   英伟达

   Feb 2019 — Present

   Lead the Power-Performance-Binning tools team to develop a Silicon simulation tool suite for Nvidia final products definition. The tools suite uses simulated power, performance, speed, VF, Vmin, noise along with in-house innovated methodologies to calculate and define GPU/CPU product SKUs.

Education

• Stanford University

  Certificate, Generative AI

Skills

• Cpu Thermal
• System on a Chip (Soc)
• Trace32
• Gerrit
• Perforce
• Debugging
• Perl
• Json
• Embedded Systems
• Processors
• Architecture
• Lua
• Design Patterns
• Wifi
• C
• Optimization
• I2c
• Arm
• Git
• Cpu Power & Performance Analysis and Optimization
• Linux
• Performance Benchmarking
• Test Automation
• Software Development
• Python
• Application-Specific Integrated Circuits (Asic)
• Integration
• Testing
• Crm
• Adcs
• Unix
• Firmware
• Psoc
• C#
• Device Drivers
• Spi
• Semiconductors
• Java
• Embedded Software
• Wireless