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Datacenter GPU Power Architect

NVIDIA· Engineer, ASIC
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Santa Clara, CA, Austin, TX$116k - $189.8kFull-timePosted 7mo ago

About the role

Position within NVIDIA's Applied Power Architecture team focusing on power estimation, energy efficiency, and performance/power optimization for datacenter GPUs and related platforms.

Responsibilities

  • Contribute to power estimation models and tools for GPU products and systems (e.g., NVIDIA DGX/HGX datacenters).
  • Perform early GPU & System Architecture exploration with a focus on energy efficiency and TCO improvements at GPU and Datacenter level.
  • Assist with Performance vs Power Analysis and track ASIC milestones for future NVIDIA product lines.
  • Deploy machine learning techniques to develop accurate power and performance models for GPUs, CPUs, switches, and platforms.
  • Understand workload characteristics for GenAI/HPC workloads at Datacenter Scale to drive HW/SW features for Perf@Watt improvements.
  • Model and analyze cutting-edge technologies like high speed & high-density interconnects.

Qualifications

  • MSEE/MSCE, or equivalent experience with 2+ years in Power / Performance estimation and optimization techniques.
  • Knowledge of energy efficient chip design fundamentals and tradeoffs.
  • Familiarity with low power design techniques (multi-VT, Clock gating, Power gating, DVFS).
  • Understanding of processors (GPU a plus), system-SW architectures, and performance/power modeling techniques.
  • Proficiency with Python and data analysis packages (Pandas, NumPy, PyTorch).
  • Familiarity with performance monitors/simulators used in modern processor architectures.

Skills

Required:Power/Performance estimationEnergy efficient chip design fundamentalsLow power design techniquesProcessor/system-SW architecturePythonData analysis packages

Benefits

  • Equity
  • Benefits (as listed on NVIDIA benefits page)
Last updated Jul 3, 2026. Interested? Apply on the company site.

About NVIDIA

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NVIDIA invents the GPU and drives advances in AI, HPC, gaming, creative design, autonomous vehicles, and robotics.

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