Power Architect - New College Grad 2025

ATTB - The Big Jobsite; Théméricourt; Sur place; EUR 82 000 - 159 000; Plein temps

Résumé du poste

A leading technology company in Théméricourt is seeking a talented individual to architect GPU power features and develop power management solutions. Applicants should have a degree in Electrical or Computer Engineering and relevant knowledge in Python and performance simulators. Join the team to drive innovations in GPU efficiency and performance. Competitive salary with equity options are offered.

Qualifications

• Recently completed or pursuing a degree in Electrical or Computer Engineering.
• Knowledge of performance simulators is a plus.
• Experience with lab setup and measurement using equipment is helpful.

Responsabilités

• Architect GPU power features and system-level power management.
• Collaborate with software and product teams on power management strategy.
• Research energy efficiency solutions for various GPU use-cases.

Connaissances

Performance simulators/monitors

Low-power architectures/techniques

Python

TensorFlow

Pandas

NumPy

PyTorch

Formation

BS, MS, or PhD in Electrical or Computer Engineering

Outils

Design Compiler

PTPX

Power Artist

Description du poste

Overview

NVIDIA is dedicated to a computing model focused on visual and AI computing. For two decades, NVIDIA has pioneered visual computing with the GPU, solving some of the most complex problems in computer science. Today, NVIDIA GPUs enable deep learning and perception for computers, robots, and autonomous vehicles. We are looking to grow our teams with ambitious, talented people.

Responsibilities

• Architect GPU power features and system-level power management solutions for NVIDIA products.
• Collaborate closely with 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 for energy efficiency across GPU use-cases such as Deep Learning training, ADAS, Gaming, Video Playback, and Idle states.
• Deploy machine learning techniques to develop highly accurate power and performance models of GPUs and platforms.

Qualifications

• Pursuing or have 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 is a plus.
• Working knowledge of Python and frameworks/packages such as TensorFlow, Pandas, NumPy, PyTorch is a plus.
• Exposure to tools/flows such as Design Compiler, PTPX, and Power Artist is a huge plus.
• Experience with lab setup and measurement using equipment such as scope/DAQ is helpful.

Ways to Stand Out

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

Salary and Benefits

The base salary range is 96,000 USD - 184,000 USD. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. You will also be eligible for equity and benefits.

Equal Opportunity

NVIDIA is committed to fostering a diverse work environment and is an equal opportunity employer. We do not discriminate in our hiring or promotion practices on the basis of race, color, religion, sex, national origin, age, disability, or any other characteristic protected by law.