Power Architect - New College Grad 2026

NVIDIA • Austin, TX

1d

About The Position

Our work at NVIDIA is dedicated towards a computing model focused on visual and AI computing. For two decades, NVIDIA has pioneered visual computing, the art and science of computer graphics, with our invention of the GPU. The GPU has also shown to be spectacularly effective at solving some of the most complex problems in computer science. Today, NVIDIA’s GPU simulates human intelligence, running deep learning algorithms and acting as the brain of computers, robots and self-driving cars that can perceive and understand the world. We are looking to grow our company and teams with the smartest people in the world and there has never been a more exciting time to join our team! What you'll be doing: You will be working on architecting GPU power features and system level power management solutions for NVIDIA products. Collaborate closely with other Architects, Software Engineers, ASIC Design Engineers, and Product teams to study, devise and implement the power management strategy for NVIDIA's GPU roadmap. Research and develop solutions to address complex energy efficiency problems for various GPU use-cases such as: Deep Learning training, ADAS, Gaming, Video Playback, and Idle. Deploy machine learning techniques to develop highly accurate power and performance models of our GPUs and platforms.

Requirements

• Pursuing or recently completed a BS, MS, or PhD in Electrical or Computer Engineering (or equivalent experience)
• Knowledge of performance simulators/monitors and Low Power architectures/techniques a plus.
• Working knowledge of Python, and frameworks/packages like: TensorFlow, Pandas, NumPy, PyTorch a plus.
• Exposure to tools/flows such as Design Compiler, PTPX, and Power Artist etc a huge plus.
• Experience with lab setup and measurement using equipment such as scope/DAQ is helpful.

Nice To Haves

• A master’s degree/internship with a focus/projects in Low Power Architecture, power modeling, and deep learning is a plus!

Responsibilities

• Working on architecting GPU power features and system level power management solutions for NVIDIA products.
• Collaborate closely with other Architects, Software Engineers, ASIC Design Engineers, and Product teams to study, devise and implement the power management strategy for NVIDIA's GPU roadmap.
• Research and develop solutions to address complex energy efficiency problems for various GPU use-cases such as: Deep Learning training, ADAS, Gaming, Video Playback, and Idle.
• Deploy machine learning techniques to develop highly accurate power and performance models of our GPUs and platforms.

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 100,000 USD - 166,750 USD for Level 1, and 116,000 USD - 189,750 USD for Level 2.
• You will also be eligible for equity and benefits.

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level