NVIDIA Corporation

Senior Datacenter GPU Power Architect

NVIDIA Corporation$184K — $356K *
Enterprise Technology
8 - 10 years of experience
Job Overview by Ladders

Qualifications

  • MSEE/MSCE, preferably PhD, or equivalent experience in Power/Performance estimation and optimization.
  • 8+ years of relevant experience in the field.
  • Strong knowledge of energy efficient chip/system design fundamentals.
  • Familiarity with low power design techniques such as multi-VT, clock gating, and DVFS.
  • Deeper understanding of GPU, server, and system-SW architectures.
  • Experience in Python programming and semiconductor data analysis.
  • Knowledge of performance monitors and simulators used in processor architectures.

Responsibilities

  • Conceive flows, methodologies, KPIs, and build power estimation models/tools for GPU products.
  • Explore early GPU and system architecture with a focus on energy efficiency and TCO improvements.
  • Set power targets and track ASIC milestones while driving performance vs power analysis.
  • Utilize machine learning techniques to create accurate power and performance models for various hardware.
  • Analyze workload characteristics for GenAI/HPC to enhance hardware/software features.
  • Conduct pre-silicon thermal analysis for next-gen GPUs including thermal simulations and mitigation designs.
  • Model and analyze innovative technologies like chiplets and high-density interconnects.

Benefits

  • Equity opportunities as part of the compensation package.
  • Comprehensive health and wellness benefits for employees.
  • Flexible work options to support work-life balance.
Full Job Description
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[redacted] 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.


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.

About NVIDIA Corporation

Nvidia, a global leader in graphics, gaming, and AI technology, offers Nvidia careers and internship opportunities for those passionate about driving innovation in the tech industry. you'll find a company committed to growth, teamwork, and leadership in computer science and machine learning domains.

About Nvidia

A Pioneer in Technology and Innovation

Nvidia has cemented its reputation as a powerhouse in developing advanced graphics processing units (GPUs) and has significantly contributed to the gaming industry's evolution. Moreover, its foray into AI and machine learning has opened new frontiers in technology, making Nvidia a beacon of innovation and a desirable workplace for ambitious tech professionals.

Job Opportunities

Diverse Positions in a Dynamic Field

Nvidia is continuously on the lookout for talented individuals across various domains, including hardware and software engineering, product design, marketing, and sales. Employment opportunities at Nvidia are vast, catering to a wide range of expertise and career aspirations.

Employment in Hardware and Graphics

For those fascinated by the intricacies of hardware and graphics technology, Nvidia offers positions that sit at the forefront of gaming and computing advancements.

Growth in Machine Learning and AI

Nvidia's leadership in AI and machine learning has created numerous vacancies for specialists eager to contribute to groundbreaking projects.

Recruitment in Computer Science

With the constant demand for innovation, Nvidia's recruitment efforts focus on computer science experts capable of pushing the boundaries of what's possible.

Internship Program

Opening Doors to Future Innovators

Nvidia's internship program is designed to nurture the next generation of technology leaders, offering hands-on experience in a culture that celebrates creativity and teamwork.

Benefits and Culture

Interns at Nvidia enjoy a plethora of benefits, from competitive stipends to mentorship opportunities, all within an environment that values growth and learning.

Opportunities for Students

Whether you're an undergraduate, a master's student, or a Ph.D. candidate, Nvidia's internships provide a real-world glimpse into the tech industry, offering valuable experience in various technology fields.

Pathways to Full-Time Employment

Many interns have transitioned into full-time positions, marking the start of successful careers at Nvidia. The internship program is more than a stepping stone into the company; it’s an investment in the professional development of interns. The goal is to ensure that interns are well-equipped for future challenges.

Nvidia Careers: More Than Just a Job

Nvidia offers more than just a job to its employees; it provides a front-row seat on the journey into the future of technology. Nvidia stands as a pillar of innovation with its vast opportunities in hardware, graphics, gaming, machine learning, and computer science. Nvidia careers serve as a launching pad for talented workers who aim to redefine the technological landscape. Whether through full-time positions or internships, joining Nvidia means contributing to a legacy of breakthroughs and becoming part of a global community dedicated to pushing the boundaries of what's possible.
Learn more about NVIDIA Corporation
Size
22,473 employees
Market Cap
$350.4 billion
Industry
Net Income
$4.3 billion
Founded
1993
5 Year Trend
+31.3%
Revenue
$16.6 billion
NASDAQ

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