Power Architect - New College Grad

Overview

At NVIDIA, our focus is on visual and AI computing. For two decades, we have pioneered computer graphics through the invention of the GPU, which now powers deep learning, robotics, and self-driving cars.

What You'll Be Doing

You will architect GPU power features and system-level power management solutions for NVIDIA products. Responsibilities include collaborating with Architects, Software Engineers, ASIC Design Engineers, and Product teams to implement power management strategies for NVIDIA's GPU roadmap.

• Develop solutions for complex energy efficiency problems in deep learning, ADAS, gaming, video playback, and idle scenarios.
• Utilize machine learning techniques to build precise power and performance models.

What We Need To See

Candidates should be pursuing or have recently completed a BS, MS, or PhD in Electrical or Computer Engineering, or equivalent. Experience with performance simulators, low power architectures, Python, and frameworks like TensorFlow, Pandas, NumPy, and PyTorch is beneficial. Familiarity with tools such as Design Compiler, PTPX, Power Artist, and lab measurement equipment is a plus.

Ways To Stand Out

An advanced degree or internship focused on low power architecture, power modeling, and deep learning projects will make your application stand out.

Compensation & Application

The base salary range varies by level, with additional equity and benefits. Applications are accepted until February 14, 2026. NVIDIA uses AI tools in its recruiting process and is committed to diversity and equal opportunity in hiring.

Key skills/competency

• GPU Architecture
• Power Management
• Low Power Design
• Machine Learning
• Deep Learning
• Python
• TensorFlow
• ASIC Design
• Hardware Measurement
• Simulation Tools