NVIDIA
Overview
GPU Power Architect - New College Grad 2026 NVIDIA is a world leader in energy-efficient high-performance products. We are recruiting for a Datacenter GPU Power Architect at the New College Grad level to join the Applied Power Architecture team and help develop state-of-the-art GPUs to power AI, HPC, Automotive, GeForce, and Mobile products. What You'll Be Doing
You will be contributing to power estimation models and tools for GPU products and systems like NVIDIA DGX. 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 for 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
Pursuing an MSEE/MSCE, or equivalent 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). Understanding of processors (GPU is a plus), system-SW architectures, and their performance/power modeling techniques. Proficiency with Python and data analysis packages like: Pandas, NumPy, PyTorch. Familiarity with performance monitors/simulators used in modern processor architectures. Compensation and Benefits
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 108,000 USD - 184,000 USD for Level 2, and 136,000 USD - 212,750 USD for Level 3. You will also be eligible for equity and benefits. Application and EEO Information
Applications for this job will be accepted at least until October 31, 2025. NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. We value diversity and do not discriminate on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.
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GPU Power Architect - New College Grad 2026 NVIDIA is a world leader in energy-efficient high-performance products. We are recruiting for a Datacenter GPU Power Architect at the New College Grad level to join the Applied Power Architecture team and help develop state-of-the-art GPUs to power AI, HPC, Automotive, GeForce, and Mobile products. What You'll Be Doing
You will be contributing to power estimation models and tools for GPU products and systems like NVIDIA DGX. 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 for 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
Pursuing an MSEE/MSCE, or equivalent 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). Understanding of processors (GPU is a plus), system-SW architectures, and their performance/power modeling techniques. Proficiency with Python and data analysis packages like: Pandas, NumPy, PyTorch. Familiarity with performance monitors/simulators used in modern processor architectures. Compensation and Benefits
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 108,000 USD - 184,000 USD for Level 2, and 136,000 USD - 212,750 USD for Level 3. You will also be eligible for equity and benefits. Application and EEO Information
Applications for this job will be accepted at least until October 31, 2025. NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. We value diversity and do not discriminate on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.
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