Power Architect

Nvidia

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Quick summary

Work type
On-site
Location
Santa Clara, CAAustin, TX
Salary
$124,000–$195,500 / yr
Employment
Full-time
Posted
7 days ago
Freshness
Confirmed live today
Nearby
99+ roles within 25 mi

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Salary context

Competitive pay

How this pay compares to similar roles

Similar $167k
This role $160k
$111k $221k
below market most similar roles pay here above market

This role pays more than 54% of similar roles. Most pay $124,850–$209,943 — the blue band above. At the midpoint, this role pays about $160k versus about $167k for comparable roles.

Based on 240 similar postings.

Employer

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 1623 open roles on FindRole.

Listed pay typically runs $184,000–$287,500 across 1110 roles with salary data.

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At a glance

TL;DR · Power Architect

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The Power Architect - New College Grad 2027 will join the team to architect GPU power features and system level power management solutions for NVIDIA products. This role involves collaborating with Architects, Software Engineers, ASIC Design Engineers, and Product teams to devise and implement power management strategies for the GPU roadmap. The position focuses on researching and developing solutions for complex energy efficiency problems across use-cases like Deep Learning training, ADAS, Gaming, Video Playback, and Idle states. Key responsibilities include deploying machine learning techniques to develop accurate power and performance models. Required skills include knowledge of performance simulators, Low Power architectures, and Python using TensorFlow, Pandas, NumPy, and PyTorch. Candidates should also have experience with lab setup, scope/DAQ equipment, and tools like Design Compiler, PTPX, and Power Artist.

Skills

Python TensorFlow PyTorch Pandas NumPy Low Power Architecture Power Modeling Deep Learning Design Compiler PTPX Power Artist Scope DAQ ASIC Design Performance Simulators

What you'll do

  • Architect GPU power features and system-level power management solutions for NVIDIA products.
  • Devise and implement power management strategies for the GPU roadmap.
  • Research and develop solutions for energy efficiency in deep learning, ADAS, gaming, and video playback.
  • Deploy machine learning techniques to develop accurate power and performance models for GPUs and platforms.
  • Study power management requirements in coordination with ASIC Design and Product teams.
  • Use Python and frameworks like TensorFlow and PyTorch to build performance models.
  • Perform lab measurements using equipment such as scopes and DAQ systems.

What we're looking for

  • Pursue or recently complete a MS or PhD in Electrical or Computer Engineering (or equivalent experience).
  • Possess knowledge of performance simulators/monitors and Low Power architectures/techniques.
  • Have working knowledge of Python and frameworks/packages like TensorFlow, Pandas, NumPy, and PyTorch.
  • Have experience with lab setup and measurement using equipment such as scope/DAQ.
  • Have a master’s degree/internship with a focus/projects in Low Power Architecture, power modeling, and deep learning (preferred).
  • Have exposure to tools/flows such as Design Compiler, PTPX, and Power Artist (preferred).

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