Soc Product Architect Low Power Soc

Nvidia Corporation

Multiple Locations
Base: 224,000 usd - 356,500 usd (level 5); 272,000...
On-site
Define soc architecture for low-power platforms
Drive ppa trade-off analysis
Architect memory subsystem for constrained power
Nvidia Corporation is seeking a senior SoC/Product Architect to drive the architecture of low-power System on Chips (SoCs). Ideal candidates will have significant experience in SoC architecture, particularly in CPU, GPU, and memory subsystems, and should be adept at cross-functional collaboration and customer engagement

Job Summary

  • Define and drive the architecture of next-generation low-power SoCs at NVIDIA, owning concept-to-product architecture decisions.
  • Balance power, performance, and area while partnering across CPU, GPU, memory, and IO teams to resolve system-level trade-offs.
  • Engage directly with customers pre-silicon to collect feedback and follow through on product decisions.

Matching Summary

Match Score: 85

Nvidia Corporation is seeking a senior SoC/Product Architect to drive the architecture of low-power System on Chips (SoCs). Ideal candidates will have significant experience in SoC architecture, particularly in CPU, GPU, and memory subsystems, and should be adept at cross-functional collaboration and customer engagement.

Salary

Base: 224,000 USD - 356,500 USD (Level 5); 272,000 USD - 431,250 USD (Level 6); Equity and benefits eligible

Skills & Requirements

Must-have

  • Define SoC architecture for low-power platforms
  • Drive PPA trade-off analysis
  • Architect memory subsystem for constrained power
  • Work with DL teams for low power optimization
  • Translate customer requirements into architectural constraints
  • Engage directly with customers pre-silicon

Nice-to-have

  • NVIDIA's AI transformation
  • Supportive and diverse environment
  • Impact on next-generation computing

Key Requirements

  • 12+ years in SoC or product architecture
  • Master's Degree in Computer Engineering or Electrical Engineering (or equivalent experience)
  • Strong understanding of SoC architecture for low power mobile devices
  • Experience with DL inference at the edge
  • Track record of driving architecture decisions across multi-functional teams

Work Rights

Not specified

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