SoC Product Architect Low Power SoC

Nvidia

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Work type
On-site
Location
Santa Clara, CASeattle, WA
Employment
Full-time
Posted
172 days ago
Freshness
Confirmed live today
Nearby
99+ roles within 25 mi

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About Nvidia

Nvidia is a leading designer of graphics processing units (GPUs) and system-on-chip units, powering gaming, professional visualization, data centers, and artificial intelligence workloads. Industry: Semiconductors & AI Computing

Nvidia currently has 1472 open roles on FindRole.

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At a glance

TL;DR · SoC Product Architect Low Power SoC

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The senior SoC Product Architect will join the team to define and drive the architecture of next-generation low-power SoCs. This role involves owning concept-to-product architecture decisions by balancing power, performance, and area while partnering across CPU, GPU, memory, and IO teams to resolve system-level trade-offs. Key responsibilities include architecting the memory subsystem for LPDDR5/6 and on-chip SRAM, managing power domains, and translating customer requirements into architectural constraints. The candidate must utilize deep knowledge of DVFS, retention strategies, and DL inference at the edge using TensorRT, TFLite, and ONNX. The work focuses on mapping workloads to constrained hardware for low-power mobile devices, specifically addressing the technical challenge of optimizing performance within strict power envelopes for edge computing applications.

Skills

SoC Architecture CPU GPU Memory Subsystem LPDDR5 SRAM Low-Power IO DVFS Power Management TensorRT TFLite ONNX DL Inference

What you'll do

  • Define the SoC architecture for low-power platforms including CPU, GPU, memory, and power management.
  • Lead concept-level PPA trade-off analysis and manage the power and performance budgets across the SoC.
  • Architect the memory subsystem for constrained power envelopes, including LPDDR5/6 and on-chip SRAM.
  • Evaluate and craft workloads with DL teams to map tasks to constrained hardware and define optimization opportunities.
  • Align on shared IPs and integration strategies with internal CPU, GPU, and IO architecture teams.
  • Translate customer requirements into architectural constraints and drive product requirement document development.
  • Engage directly with customers pre-silicon to collect feedback and influence product decisions.

What we're looking for

  • 12+ years of experience in SoC or product architecture.
  • Master's Degree in Computer Engineering or Electrical Engineering (or equivalent experience).
  • Deep hands-on knowledge of CPU, GPU, memory, and low-power IO subsystems.
  • Strong understanding of SoC architecture for low-power mobile devices, including DVFS, power domains, and retention strategies.
  • Experience with DL inference at the edge (TensorRT, TFLite, ONNX) and mapping workloads to constrained hardware.
  • Track record of driving architecture decisions across multi-functional teams in a large organization.

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