Senior Datacenter GPU Power Architect

Nvidia Corporation in; Santa Clara (CA); On-site; USD 184,000 - 357,000; Full time

Benefits offered by this job

Equity

Benefits

Job summary

NVIDIA is seeking a Senior Datacenter GPU Power Architect to lead power/energy estimation and optimization for DGX/HGX datacenters and future GPU platforms. You will develop models and methodologies to drive power-aware product roadmaps in a high-performance, AI-fueled environment.

The role combines pre-silicon analysis with ML-based modeling, cross-functional collaboration, and deep expertise in energy-efficient design. A strong background in GPUs and datacenter systems is essential.

Qualifications

• MSEE/MSCE or PhD or equivalent in Power/Performance estimation and optimization.
• 8+ years of relevant experience.
• Strong knowledge of energy-efficient chip/system design and related tradeoffs.
• Experience with Python and data analysis.
• Familiarity with performance monitors/simulators in modern processor architectures.

Responsibilities

• Conceive flows/methodologies/KPIs and build power estimation models/tools for GPU products and datacenter systems.
• Explore early GPU and system architecture with focus on energy efficiency and TCO improvements.
• Set power targets for future projects and drive perf@power analysis for roadmap decisions.
• Deploy ML techniques to develop accurate power and performance models for GPUs, CPUs, switches, and platforms.
• Understand workload characteristics for GenAI/HPC to drive HW/SW feature enhancements for Perf/Watt.

Skills

Power estimation

DVFS

GPU/CPU architecture

Python

Performance modeling

Cross-functional collaboration

Education

MSEE/MSCE or PhD

Tools

Python

Thermal modeling tools

Job description

Senior Datacenter GPU Power Architect (Finance)

We are looking for a Senior Datacenter GPU Power Architect. NVIDIA is known as a world leader in providing energy-efficient high-performance products and we continue to invest in the research and development of hyper-efficient GPU and SOC architectures. We are continually innovating in creative and unrivaled ways to improve our ability to deliver exceptional Perf/Watt solutions in a wide range of sectors and verticals. Come join NVIDIAs Applied Power Architecture team to develop state of the art GPUs to power AI, HPC, Automotive, GeForce, and Mobile products.

What you'll be doing:

• You will be responsible for conceiving flows/methodologies/KPIs and building the power estimation models/tools for GPU products and systems like NVIDIA DGX/HGX based datacenters.
• Early GPU & System Architecture exploration with focus on energy efficiency and TCO improvements at GPU and Datacenter level.
• You will set power targets for future projects, track ASIC milestones and drive Performance vs Power Analysis to enable impactful product roadmap decisions.
• Deploy machine learning techniques to develop highly accurate power and performance models of our GPUs, CPUs, Switches, and platforms.
• Understand the workload characteristics for GenAI/HPC workloads at Datacenter Scale to drive new HW/SW features for Perf@Watt improvements.
• Pre-silicon thermal analysis for next-gen GPUs including design of thermal usecases, power map for thermal simulations, and driving thermal mitigation architectural features.
• Modeling & analysis of cutting-edge technologies like chiplets, high speed & high-density interconnects.
• You will be working with cross-functional teams including Architects, Designers, VLSI, Software, Management and Marketing teams to influence product roadmap.

What we need to see:

• MSEE/MSCE, preferably PhD, or equivalent experience related to Power / Performance estimation and optimization techniques.
• 8+ years of experience
• Strong knowledge of energy efficient chip/system design fundamentals and related tradeoffs.
• Familiarity with low power design techniques such as multi-VT, Clock gating, Power gating, and Dynamic Voltage-Frequency Scaling (DVFS).
• Deeper understanding of processors (GPU is a plus), servers, and system-SW architectures, and their performance/power modeling techniques.
• Familiarity with Python and Si data analysis
• Familiarity with performance monitors/simulators used in modern processor architectures.
• Strong interpersonal and organizational skills and the ability & desire to work as a great teammate.

NVIDIA is widely considered to be one of the technology world's most desirable employers. Our products are leading the way with groundbreaking developments in Artificial Intelligence, High-Performance Computing and Visualization. We have some of the most forward-thinking and hardworking people in the world working for us. Do you love the challenge of crafting the fastest and most power-efficient chips in their class? If so, 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 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5.

You will also be eligible for equity and benefits .

Applications for this job will be accepted at least until August 9, 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.