GPU Power Architect - New College Grad 2026 at NVIDIA

You are a recent or upcoming graduate in Electrical or Computer Engineering looking to specialize in energy-efficient architecture for high-performance GPUs. This role is intended for entry-level professionals who want to build power estimation models and optimize hardware performance. **What makes it worth a look...** NVIDIA offers a base salary between $100,000 and $189,750 depending on the level and location, with roles based on-site in Santa Clara or Austin. You will work on cutting-edge hardware for AI and datacenter applications while gaining exposure to industry-standard energy efficiency techniques. **You might be a good fit if you...** * Have experience with Python and data analysis libraries like Pandas, NumPy, or PyTorch. * Understand fundamental chip design concepts like clock gating, power gating, and DVFS. * Know how to use performance monitors or simulators for modern processor architectures. * Can apply machine learning to model complex power and performance metrics.