Job description

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. What we need to see: • Pursuing or recently completed a MS or PhD in Electrical or Computer Engineering (or equivalent experience) • Knowledge of performance simulators/monitors and Low Power architectures/techniques. • Working knowledge of Python, and frameworks/packages like: TensorFlow, Pandas, NumPy, PyTorch. • Experience with lab setup and measurement using equipment such as scope/DAQ Ways to stand out from the crowd: • A master’s degree/internship with a focus/projects in Low Power Architecture, power modeling, and deep learning. • Exposure to tools/flows such as Design Compiler, PTPX, and Power Artist. NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. If you're creative and autonomous, we want to hear from you! Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 124,000 USD - 195,500 USD for Level 2, and 152,000 USD - 241,500 USD for Level 3. You will also be eligible for equity and benefits . Applications for this job will be accepted at least until October 24, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes. NVIDIA is committed to fostering an inclusive 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.

Requirements

Must-haves

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.
Pursuing or recently completed a MS or PhD in Electrical or Computer Engineering (or equivalent experience)
Knowledge of performance simulators/monitors and Low Power architectures/techniques.
Working knowledge of Python, and frameworks/packages like: TensorFlow, Pandas, NumPy, PyTorch.
Experience with lab setup and measurement using equipment such as scope/DAQ
A master’s degree/internship with a focus/projects in Low Power Architecture, power modeling, and deep learning.
Exposure to tools/flows such as Design Compiler, PTPX, and Power Artist.
You will also be eligible for equity and benefits .
Applications for this job will be accepted at least until October 24, 2026.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.

Nice-to-haves

None flagged.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

aimachine learningpython

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