AI GPU Power Architect - New College Grad 2026
NVIDIA· Engineer, ASIC
Santa Clara, CA, Austin, TX$100k - $166.8kfull-timePosted 5mo ago
About the role
AI GPU Power Architect role focused on power estimation, energy efficiency, and performance modeling for GPU and datacenter systems at NVIDIA, with emphasis on GenAI/HPC workloads and cutting-edge interconnects.
Responsibilities
- Contribute to power estimation models and tools for GPU products and systems like NVIDIA DGX
- Perform early GPU & System Architecture exploration with focus on energy efficiency and TCO improvements at GPU and Datacenter level
- Assist with Performance vs Power Analysis for NVIDIA future product lineup
- Deploy machine learning techniques to develop highly accurate power and performance models of GPUs, CPUs, Switches, and platforms
- Understand 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
Qualifications
- Pursuing or recently completed a Bachelors or Masters in Electrical Engineering, Computer Engineering, or equivalent experience
- Strong understanding of Computer Architecture and Digital Logic Design/VLSI Design
- Proficiency with Python and data analysis packages like Pandas, NumPy, PyTorch
- Knowledge of energy efficient chip design fundamentals and related tradeoffs (e.g., low power design techniques such as multi-VT, Clock gating, Power gating, DVFS)
Skills
Required:PythonData analysis with PandasData analysis with NumPy
Nice to have:PyTorch
Benefits
- Equity
- Benefits (see NVIDIA benefits)
Last updated Oct 16, 2026. Interested? Apply on the company site.
About NVIDIA
World Leader in AI Computing
NVIDIA invents the GPU and drives advances in AI, HPC, gaming, creative design, autonomous vehicles, and robotics.
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