NVIDIA Corporation

Senior GPU Architect - Performance and Yield Optimization

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

Qualifications

  • BS, MS, or PhD in Computer Engineering, Computer Science, Electrical Engineering, or a related field, or equivalent experience
  • 10+ years in GPU, CPU, SoC, or complex processor architecture
  • Strong understanding of GPU architecture and execution pipeline
  • Proficient in C++ and/or Python for building architectural models or optimization frameworks
  • Experience in translating architecture and product requirements into executable analysis
  • Ability to quantify tradeoffs in performance, yield, area, cost, and complexity

Responsibilities

  • Shape GPU architectures to enhance product yield while ensuring architectural simplicity
  • Analyze manufacturing defects' effects on architectural resources and develop isolation methods
  • Build software tools and models capturing architectural, performance, and product requirements
  • Create optimization techniques for exploring large configuration spaces
  • Develop strategies for multi-die architectures to maximize silicon usage
  • Evaluate yield, performance, and cost factors to guide production proposals

Benefits

  • Equity opportunities
  • Comprehensive health benefits
  • Flexible work environment
  • Professional development and training programs
  • Collaborative team culture
Full Job Description
What You'll Be Doing:
  • Work with us to shape GPU architectures that improve product yield while maintaining performance and architectural simplicity.
  • Analyze how manufacturing defects affect architectural resources, then develop methods that isolate or disable affected regions while preserving useful functionality.
  • Build software tools and models that capture architectural, performance, and product requirements as rules and constraints.
  • Develop efficient optimization techniques that explore large configuration spaces and identify viable product configurations.
  • Develop approaches for multi-die architectures that improve utilization of available silicon while meeting product and performance requirements.
  • Evaluate yield, performance, area, implementation cost, complexity, and product flexibility, then work across architecture, performance, design, silicon, Operations, and software to move selected proposals into production.


What We Need to See:
  • BS, MS, or PhD in Computer Engineering, Computer Science, Electrical Engineering, or a related field, or equivalent experience, plus 10+ years in GPU, CPU, SoC, or complex processor architecture.
  • Strong understanding of GPU architecture, the overall execution pipeline, and interactions across major GPU subsystems.
  • Strong computer architecture fundamentals and the ability to reason about disabling, isolating, or reconfiguring resources.
  • Strong C++ and/or Python skills with experience building architectural models, simulators, optimization frameworks, or engineering analysis tools.
  • Experience translating architecture and product requirements into rules, constraints, algorithms, and executable analysis, including complex optimization or configuration problems.
  • Ability to quantify performance, product yield, area, cost, and complexity tradeoffs and influence decisions across architecture, design, implementation, and product teams.


Ways to Stand Out From the Crowd:
  • Hands-on GPU architecture or large-scale SoC architecture experience.
  • Experience with constraint-based reasoning, combinatorial optimization, mathematical optimization, or related techniques.
  • Background with silicon yield, defect tolerance, harvesting, redundancy, repair, resource isolation, or configurable processor architectures.
  • Experience with multi-die, chiplet, or other modular processor architectures and complex resource-allocation problems.
  • Experience using silicon or manufacturing data, developing performance or architecture simulators, profiling GPU workloads, or carrying concepts into production silicon.


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 September 19, 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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