This role involves contributing to power estimation models and tools for GPU products and systems like NVIDIA DGX.  Responsibilities include early GPU & system architecture exploration focusing on energy efficiency and TCO improvements, performance vs. power analysis for future products, deploying machine learning for accurate power and performance modeling, understanding GenAI/HPC workload characteristics at datacenter scale, and modeling cutting-edge technologies like high-speed interconnects.  The position requires knowledge of energy-efficient chip design, low-power techniques, processor architectures, system-SW architectures, and proficiency in Python and data analysis packages.

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<div data-automation-id="jobPostingDescription" class="css-4r17ng"><p>We are looking for a Datacenter GPU Power Architect - New College Grad</p><p></p><p>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. Come join NVIDIAs Applied Power Architecture team to develop state of the art GPUs to power AI, HPC, Automotive, GeForce, and Mobile products.</p><p></p><p><b>What you'll be doing:</b></p><ul><li><p>You will be contributing to power estimation models and tools for GPU products and systems like NVIDIA DGX.</p></li><li><p>Early GPU &amp; System Architecture exploration with focus on energy efficiency and TCO improvements at GPU and Datacenter level.</p></li><li><p>You will help with Performance vs Power Analysis for NVIDIA future product lineup.</p></li><li><p>Deploy machine learning techniques to develop highly accurate power and performance models of our GPUs, CPUs, Switches, and platforms.</p></li><li><p>Understand the workload characteristics for GenAI/HPC workloads at Datacenter Scale (multi-GPU) to drive new HW/SW features for Perf@Watt improvements.</p></li><li><p>Modeling &amp; analysis of cutting-edge technologies like high speed &amp; high-density interconnects.</p></li></ul><p></p><p><b>What we need to see:</b></p><ul><li><p>Pursuing a MSEE/MSCE, or equivalent experience related to Power / Performance estimation and optimization techniques.</p></li><li><p>Knowledge of energy efficient chip design fundamentals and related tradeoffs.</p></li><li><p>Familiarity with low power design techniques such as multi-VT, Clock gating, Power gating, and Dynamic Voltage-Frequency Scaling (DVFS).</p></li><li><p>Understanding of processors (GPU is a plus), system-SW architectures, and their performance/power modeling techniques.</p></li><li><p>Proficiency with Python and data analysis packages like: Pandas, NumPy, PyTorch.</p></li><li><p>Familiarity with performance monitors/simulators used in modern processor architectures.</p></li></ul><p></p><p>NVIDIA is widely considered to be one of the technology world’s most desirable employers. Our products are leading the way with groundbreaking developments in Artificial Intelligence, High-Performance Computing and Visualization. We have some of the most forward-thinking and hardworking people in the world working for us. Do you love the challenge of crafting the fastest and most power-efficient chips in their class? If so, we want to hear from you!</p><p style="text-align:inherit"></p><p style="text-align:inherit"></p>The base salary range is 108,000 USD - 212,750 USD. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions.<div><div><div><div><div><div><div><p><span>You will also be eligible for equity and <a rel="noopener noreferrer" target="_blank" href="https://www.nvidia.com/en-us/benefits/">benefits</a>. </span><span><i><span>NVIDIA accepts applications on an ongoing basis.</span><span> </span></i></span></p><p></p></div></div></div></div></div></div></div>NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) 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.<p style="text-align:inherit"></p><p style="text-align:inherit"></p></div>

Datacenter GPU Power Architect - New College Grad 2025