NVIDIA Corporation

Senior GPU Architect

NVIDIA Corporation • $184K — $356K *
Santa Clara, CA 95051In-Person
Consumer Technology
8 - 10 years of experience
Reposted Today
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Job Overview by Ladders

Qualifications

  • Bachelors/Master's/PhD in Computer Engineering, Computer Science or related fields (or equivalent experience)
  • Minimum of 10 years of relevant experience in GPU or CPU System Architecture development
  • Proficient in C++ and Python programming
  • Solid foundation in Computer Architecture with modeling experience
  • Strong communication and interpersonal skills
  • Proven problem-solving and debugging skills

Responsibilities

  • Develop GPU architecture innovations and improvements
  • Enhance chip design infrastructure, including functional models
  • Create and maintain tests, plans, and testing infrastructure
  • Collaborate across modeling teams to optimize chip yield and performance
  • Document architecture specifications and track progress with design teams
  • Implement and maintain functional, performance, and yield models
  • Guide improvements of functional verification tools for future architectures

Benefits

  • Eligible for equity and comprehensive benefits package
  • Opportunities for professional growth and development
  • Dynamic, collaborative work environment
  • Engagement in cutting-edge GPU technology innovations
  • Chance to work with top-tier talent in the industry
Full Job Description
What you will be doing:
  • Develop GPU architecture innovations and improvements, optimizing along the axes of scalability/modularity, performance, area, yield, effort, and schedule.
  • Develop and enhance chip design infrastructure, including functional models and yield simulators, testbench components and analysis tools, to evaluate configurations under different constraints.
  • Develop tests, test plans and testing infrastructure for new architectures/ features
  • Work in a matrixed environment, across the different modeling teams, to document, design, develop tools to optimize chip yield and performance
  • Implement and maintain functional, performance, and yield models
  • Document architecture specifications; work with ASIC design, software, and VLSI teams to review and explore trade-offs, define solutions, and track progress.
  • Collaborate with other functional teams (Design, Floorplan, Packaging and Systems Engineering, etc) to validate choices against performance, cost, and scalability targets.
  • Guide the improvement of functional verification tools and expand other resources to support future GPU architectures


What we need to see:
  • Bachelors/Master's/PhD in Computer Engineering, Computer Science or related fields (or equivalent experience)
  • A minimum of 10 years of relevant work experience in GPU or CPU System Architecture development
  • Proficient programming skills in C++ and Python.
  • Solid background in Computer Architecture with experience in modeling
  • Strong communication and interpersonal skills, as well as the ability to thrive in a dynamic, collaborative, distributed team.
  • Strong problem-solving and debugging skills, with a track record of driving issues to closure


Ways to stand out from the crowd:
  • Experience with GPU architecture and/or Network-on-Chip (NoC)/Interconnect. Knowledgeable in system level functions such as reset and boot, DFT.
  • Consistent track record of efficiently implementing complex architectural features
  • Outstanding problem-solving skills with a focus on optimizing performance, area, complexity, and power.


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 October 4, 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
Manufacturing & Automotive
Net Income
$4.3 billion
Founded
1993
5 Year Trend
+31.3%
Revenue
$16.6 billion
NASDAQ
NVDA
* Ladders Estimates

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