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Power Methodology and Modeling Engineer - New College Grad 2026

NVIDIA

US, TX, Austin · On-site · relocation$9,667–18,208 gross/mofull-timeNVIDIA Careers (offices abroad)

As a member of the Architecture Energy Modeling Team, you will collaborate with Architects, ASIC Design Engineers, Low Power Engineers, Performance Engineers, Software Engineers, and Physical Design teams to study and implement energy modeling techniques for NVIDIA's next generation GPUs, CPUs and Tegra SOCs. Your contributions will help us understand energy usage in graphics and AI workloads and make improvements in architecture, design, and power management.

Responsibilities

  • Define and implement tools and methodologies for efficient data generation from post layout netlists to feed into data movement power analytical model.
  • Develop tools and infrastructure to sanitize each metric in the model to achieve high correlation accuracy.
  • Define and implement tools and methodologies for efficient integration of power models with performance tools.
  • Identify runtime and memory limitation of existing flows and tools to speedup model delivery process.
  • Mine data from pre- and post-silicon performance runs to find important data paths and bottlenecks. Give feedback to design teams and improve power efficiency.
  • Work with floorplan, performance, verification and emulation methodology and infrastructure development teams to integrate data movement power models.
  • Experiment with various ML techniques to answer what-if design questions and set proper power/energy targets for next generation chips.
  • Enable efficient storage and retrieval of data from database.
  • Enable easy visualization of data using platforms such as PowerBI, OpenSearch.
  • What we need to see

Languages

    Work format
    On-site
    Seniority
    Junior
    Posted
    5 May 2026
    Last verified
    In the last 5 days

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