Job Description

Salary: $168,000 - 310,500 per year Requirements:

• We seek an individual who holds an MSEE/MSCE, preferably a PhD, or possesses equivalent experience related to power and performance estimation and optimization methodologies. You should have more than 5 years of experience, along with a strong understanding of energy-efficient chip and system design principles and the associated trade-offs. Familiarity with low power design techniques such as multi-VT, clock gating, power gating, and dynamic voltage-frequency scaling (DVFS) is necessary. A deeper comprehension of processors (GPU knowledge is a plus), servers, and system software architectures, as well as their performance and power modeling techniques, is essential. Additionally, you should have familiarity with Python and silicon data analysis, as well as performance monitors or simulators used in contemporary processor architectures. Strong interpersonal and organizational abilities and a passion for teamwork are also vital.

Responsibilities:

• As a Senior Datacenter GPU Power Architect, you will be instrumental in developing flows, methodologies, KPIs, and power estimation models/tools for GPU products and systems, such as NVIDIA DGX/HGX-based datacenters. Your role will involve early GPU and system architecture exploration, emphasizing energy efficiency and total cost of ownership improvements at both GPU and datacenter levels. You will establish power targets for upcoming projects, monitor ASIC milestones, and steer performance versus power analysis to guide crucial product roadmap decisions. Deploying machine learning techniques, you will create highly accurate power and performance models for our GPUs, CPUs, switches, and platforms. It will be essential for you to comprehend the workload characteristics for GenAI/HPC workloads on a datacenter scale to inspire new hardware/software features for performance per watt enhancements. You will also engage in pre-silicon thermal analysis for next-generation GPUs, including the design of thermal use cases, creating power maps for thermal simulations, and driving thermal mitigation architectural features. Furthermore, you will model and analyze cutting-edge technologies such as chiplets and high-speed, high-density interconnects. Collaboration with cross-functional teams, including architects, designers, VLSI, software engineers, management, and marketing teams, will be crucial as you influence the product roadmap.

Technologies:

• Architect
• Hardware
• Machine Learning
• Marketing
• Python
• AI
• Mobile

More:

At NVIDIA, we are recognized as a premier employer within the tech industry, leading the charge in groundbreaking advancements in artificial intelligence, high-performance computing, and visualization. We are proud to have some of the brightest and most industrious minds in the world on our team. If you find joy in the challenge of designing the fastest and most power-efficient chips available, we would love to connect with you!

Your base salary will be determined by your location, experience, and the compensation of employees in similar roles. For Level 4 positions, the salary range is between 168,000 USD and 264,500 USD, while Level 5 positions range from 196,000 USD to 310,500 USD. You will also be eligible for equity and benefits.

We will be accepting applications for this position at least until August 23, 2025. NVIDIA is dedicated to promoting a diverse workplace and proudly stands as an equal opportunity employer, valuing diversity among our current and future employees without discrimination based on race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status, or any other legally protected characteristic.

last updated 42 week of 2025

Job Tags

Full time,

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