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Datacenter GPU Power Architect
NVIDIA
US, CA, Santa Clara +1 more · On-site · relocation$9,667–18,208 gross/mofull-timeNVIDIA Careers (offices abroad)
NVIDIA is known as a world leader in providing energy-efficient high-performance products and we continue to invest in the research and development of hyper-efficient GPU and SOC architectures. We are continually innovating in creative and unrivaled ways to improve our ability to deliver exceptional Perf/Watt solutions in a wide range of sectors and verticals.
Responsibilities
- You will be contributing to power estimation models and tools for GPU products and systems like NVIDIA DGX/HGX based datacenters.
- Early GPU & System Architecture exploration with focus on energy efficiency and TCO improvements at GPU and Datacenter level.
- You will help with Performance vs Power Analysis, track ASIC milestones for impactful NVIDIA future product lineup.
- Deploy machine learning techniques to develop highly accurate power and performance models of our GPUs, CPUs, Switches, and platforms.
- Understand the workload characteristics for GenAI/HPC workloads at Datacenter Scale (multi-GPU) to drive new HW/SW features for Perf@Watt improvements.
- Modeling & analysis of cutting-edge technologies like high speed & high-density interconnects.
- What we need to see
- MSEE/MSCE, or equivalent experience with 2+ years of experience related to Power / Performance estimation and optimization techniques.
- Knowledge of energy efficient chip design fundamentals and related tradeoffs.
- Familiarity with low power design techniques such as multi-VT, Clock gating, Power gating, and Dynamic Voltage-Frequency Scaling (DVFS).
Languages
- Work format
- On-site
- Seniority
- Senior
- Posted
- 9 Jan 2026
- Last verified
- In the last 5 days
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