NVIDIA Corporation

Senior SoC Subsystem and I/O Architect - LPU

NVIDIA Corporation$184K — $356K *
US-Anywhere
+ 3 other locationsRemote
Telecommunications & Hardware
8 - 10 years of experience
Job Overview by Ladders

Qualifications

  • BS, MS, or PhD in Electrical Engineering, Computer Engineering, Computer Science, or equivalent experience.
  • 8+ years of experience in SoC architecture, subsystem architecture, or high-performance systems.
  • Strong grasp of SoC architecture and uncore subsystem development.
  • In-depth knowledge of IO and interconnect cores like PCIe, CXL, NVLink, and UCIe.
  • Experience converting product requirements to IP/subsystem specifications.
  • Proficiency in crafting functional or architectural models from specifications.
  • Solid understanding of memory ordering, virtualization, interrupts, and error management.

Responsibilities

  • Define high-level SoC subsystem architecture for LPU products.
  • Convert product requirements into architectural specifications for various subsystems.
  • Collaborate with IP teams on detailed build documents for multiple interfaces and controllers.
  • Specify subsystem behavior including data consistency and error handling.
  • Build or guide functional and architectural models using programming languages.
  • Use models to validate architecture intent and subsystem behavior before RTL or silicon development.
  • Drive trade-offs across technical parameters in architecture designs.

Benefits

  • Comprehensive benefits package available to you and your family.
  • Eligibility for equity in the company.
  • Access to NVIDIA’s renowned employee benefits program.
  • Opportunities for professional development and growth.
Full Job Description
We are seeking a Senior SoC Subsystem & I/O Architect to join our ambitious LPU team. This role involves establishing the high-level architecture for next-generation AI and high-performance computing products. The role requires extensive architectural expertise across SoC subsystems and uncore IPs including PCIe/CXL, NVLink/NVLink-C2C, UCIe, AXI/CHI, NoC fabrics, memory systems, coherency, boot, system initialization, protection mechanisms, reliability, availability, serviceability, power management, debug, firmware interfaces, and platform initialization. If you are prepared to make a difference and be part of a dedicated team, this is your opportunity!

What You'll Be Doing:
  • Define high-level SoC subsystem architecture for LPU products.
  • Convert LPU product requirements into architectural specifications for uncore, IO, memory, firmware-facing, boot, reset, safety, fault tolerance, diagnostic, and power regulation subsystems.
  • Collaborate intimately with IP teams to develop detailed build documents for PCIe/CXL, NVLink/NVLink-C2C, UCIe, AXI/CHI, NoC fabrics, memory controllers, coherency blocks, MMUs/IOMMUs, boot, reset, and associated SoC infrastructure.
  • Specify subsystem behavior encompassing enumeration, capability discovery, configuration flows, sequence control of memory operations, data consistency, address mapping, interrupt handling, virtualization, error handling, and firmware/software-visible controls.
  • Build or guide functional and architectural models from specifications, using C++, SystemC, Python, or similar languages.
  • Use models to validate architecture intent, subsystem behavior, configuration sequences, and IP interactions before RTL or silicon is available.
  • Drive tradeoffs across bandwidth, latency, power, area, timing, scalability, reliability, security, debuggability, and software usability.
  • Review IP specifications, subsystem architecture documents, model behavior, verification plans, and validation strategies.
  • Collaborate with architecture, IP, firmware, software, RTL, verification, platform, and post-silicon teams to bring architecture decisions to completion.


What We Need To See:
  • BS, MS, or PhD in Electrical Engineering, Computer Engineering, Computer Science, or equivalent experience.
  • 8+ years of proven experience in SoC architecture, subsystem architecture, IO architecture, interconnect architecture, GPU/CPU architecture, accelerator architecture, or high-performance systems.
  • Strong understanding of SoC architecture and uncore subsystem development.
  • Extensive understanding of IO and interconnect cores including PCIe, CXL, NVLink, NVLink-C2C, UCIe, AXI, CHI, or NoC fabrics.
  • Experience working from product requirements to architecture requirements and IP/subsystem specifications.
  • Experience crafting functional models, architectural models, golden models, or C/SystemC models from architecture specifications.
  • Solid grasp of memory ordering, coherency, address translation, interrupts, virtualization, MMUs/IOMMUs, enumeration, configuration, and error management.
  • Solid knowledge of boot, reset, firmware handoff, capability discovery, security, RAS, debug, and power-management architecture.
  • Strong communication abilities and capability to harmonize architecture decisions across IP, firmware, software, verification, and product groups.


Ways To Stand Out from the crowd:
  • Hands-on experience with LPU, GPU, CPU, AI accelerator, chiplet, or multi-die SoC architecture.
  • Extensive knowledge in PCIe/CXL, NVLink/NVLink-C2C, UCIe, AXI/CHI, coherent fabrics, NoCs, or chip-to-chip links.
  • Extensive knowledge in formulating architecture specifications for advanced SoC subsystems.
  • Experience building executable functional models directly from product, architecture, or protocol specs.
  • Understanding of deep learning workloads, numerics, memory architecture, and bandwidth/latency tradeoffs.
  • Experience with boot architecture, reset sequencing, secure boot, RAS, debug, DFT, power sequencing, or post-silicon validation.


Widely considered to be one of the technology world's most desirable employers, NVIDIA offers highly competitive salaries and a comprehensive benefits package. As you plan your future, see what we can offer to you and your family www.nvidiabenefits.com/

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 June 30, 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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