NVIDIA Corporation

Senior GPU System Architect

NVIDIA Corporation$184K — $356K *
Telecommunications & Hardware
8 - 10 years of experience
Job Overview by Ladders

Qualifications

  • BS/MS/PhD in Electrical or Computer Engineering or equivalent experience.
  • 8+ years in system design or ASIC/SoC architecture related to GPUs, CPUs, or networking.
  • Deep knowledge of communication interconnect protocols like NVLink, Ethernet, and PCIe.
  • Experience with RDMA/RoCE transport architectures.
  • Proven ability to architect multi-GPU/multi-CPU systems with advanced bandwidth scaling and memory models.
  • Experience in hardware-software co-design, performance tuning for distributed systems.
  • Strong analytical skills with proficiency in modeling tools like Python or SystemC.

Responsibilities

  • Architect multi-GPU system topologies for effective scale-up and scale-out configurations.
  • Define and evaluate future architectures for high-speed interconnects in conjunction with GPU memory systems.
  • Collaborate with cross-functional teams to define hardware for RDMA and transport optimizations for AI workloads.
  • Use system models to perform simulations and analyze bottlenecks to inform architectural design decisions.
  • Work closely with GPU teams to optimize hardware-software interactions across multiple layers.
  • Contribute to the design of high-density multi-GPU systems involving co-design of interposers, PCBs, and switches.

Benefits

  • Equity eligibility in addition to competitive salary package.
  • Hybrid work model available.
  • Extensive opportunities for professional development and growth within NVIDIA.
Full Job Description
We are seeking a GPU System Architect who will architect and design multi-GPU scale-up and scale-out systems for next-generation datacenter platforms for AI and HPC. The architect in this role will explore and define system architectures that tightly couple GPU compute, high-bandwidth memory, in-package interconnects and GPU-to-GPU communication fabric subsystems to deliver industry-leading AI performance, scalability and resilience. The ideal candidate combines deep hands-on system-level fabric/networking architecture experience, and practical hardware-software co-design expertise.

What you will be doing:
  • Architect multi-GPU system topologies for scale-up and scale-out configurations, balancing AI throughput, scalability, and resilience.
  • Define, modify and evaluate future architectures for high-speed interconnects such as NVLink and Ethernet co-designed with the GPU memory system.
  • Collaborate with other teams to architect RDMA-capable hardware and define transport layer optimizations for GPU-based large scale AI workload deployments.
  • Use and modify system models, perform simulations and bottleneck analyses to guide design trade-offs.
  • Work with GPU ASIC, compiler, library and software stack teams to enable efficient hardware-software co-design across compute, memory, and communication layers.
  • Contribute to interposer, package, PCB and switch co-design for novel high-density multi-die, multi-package, multi-node rack-scale systems consisting of hundreds of GPUs.


What we need to see:
  • BS/MS/PhD in Electrical Engineering, Computer Engineering, or equivalent experience.
  • 8 years or more of relevant experience in system design and/or ASIC/SoC architecture for GPU, CPU or networking products.
  • Deep understanding of communication interconnect protocols such as NVLink, Ethernet, InfiniBand, CXL and PCIe.
  • Experience with RDMA/RoCE or InfiniBand transport offload architectures.
  • Proven ability to architect multi-GPU/multi-CPU topologies, with awareness of bandwidth scaling, NUMA, memory models, coherency and resilience.
  • Experience with hardware-software interaction, drivers and runtimes, and performance tuning for modern distributed computing systems.
  • Strong analytical and system modeling skills (Python, SystemC, or similar).
  • Excellent cross-functional collaboration skills with silicon, packaging, board, and software teams.


Ways to stand out from the crowd:
  • Background in system design for AI and HPC.
  • Experience with NICs or DPU architecture and other transport offload engines.
  • Expertise in chiplet interconnect architectures or multi-node fabrics and protocols for distributed computing.
  • Hands-on experience with interposer or 2.5D/3D package co-design.


#LI-Hybrid

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 May 11, 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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