Datacenter GPU Power Architect

Job Description

NVIDIA is seeking a Datacenter GPU Power Architect to join their Applied Power Architecture team in developing state-of-the-art GPUs for AI, HPC, Automotive, GeForce, and Mobile products with a focus on energy efficiency and performance.

Requirements

• MSEE/MSCE, or equivalent experience
• 2+ years of experience related to Power / Performance estimation and optimization techniques
• Knowledge of energy efficient chip design fundamentals and related tradeoffs
• Proficiency with Python and data analysis packages like: Pandas, NumPy, PyTorch
• Familiarity with low power design techniques such as multi-VT, Clock gating, Power gating, and Dynamic Voltage-Frequency Scaling (DVFS)
• Understanding of processors, system-SW architectures, and their performance/power modeling techniques

Responsibilities

• Contribute to power estimation models and tools for GPU products and systems
• Explore early GPU & System Architecture with focus on energy efficiency and TCO improvements
• Help with Performance vs Power Analysis and track ASIC milestones
• Deploy machine learning techniques to develop accurate power and performance models
• Understand workload characteristics for GenAI/HPC workloads at Datacenter Scale
• Modeling & analysis of cutting-edge technologies like high speed & high-density interconnects

Benefits

• Multiple relocation packages
• Two weeklong shutdowns (mid-summer and year-end) in the US (in addition to PTO)
• 8-week parental leave
• 9 Employee Resource Groups
• Annual bonus offering
• Flexible work arrangements
• Up to 6% 401K matching