Datacenter GPU Power Architect

NVIDIA, the world leader in accelerated computing, is seeking a Datacenter GPU Power Architect to join their Applied Power Architecture team. This role focuses on developing state-of-the-art GPUs for AI, HPC, Automotive, GeForce, and Mobile products. The position involves working with power estimation models and tools for GPU products and systems, particularly in NVIDIA DGX/HGX based datacenters. You'll be responsible for early GPU & System Architecture exploration, focusing on energy efficiency and TCO improvements at both GPU and Datacenter levels.

The ideal candidate will have an MSEE/MSCE with 2+ years of experience in power/performance estimation and optimization. You'll need strong knowledge of energy-efficient chip design fundamentals and familiarity with low power design techniques. The role requires proficiency in Python and data analysis packages, along with a solid understanding of processor architectures and performance modeling.

At NVIDIA, you'll be part of a team that's leading groundbreaking developments in Artificial Intelligence, High-Performance Computing, and Visualization. The company offers competitive compensation, including a base salary range of $108,000 - $212,750 USD, plus equity and benefits. NVIDIA is committed to fostering a diverse work environment and is proud to be an equal opportunity employer.

This is an excellent opportunity for someone passionate about power architecture and energy efficiency in high-performance computing systems. You'll be working on cutting-edge technologies that power some of the most advanced AI and HPC systems in the world, making a significant impact on the future of computing technology.