NVIDIA Corporation

HSIO Validation Lead - Silicon Co-Design

NVIDIA Corporation$168K — $310K *
Information Technology
8 - 10 years of experience
Job Overview by Ladders

Qualifications

  • BS or MS in Electrical Engineering, Computer Engineering, or Systems Engineering, or equivalent lab experience.
  • 8+ years in silicon validation, HSIO bring-up, or high-speed interface debug on real hardware.
  • Deep protocol expertise in PCIe, NVLink, CXL, C2C, Ethernet, USB, or similar high-speed interface technologies.
  • Strong signal integrity fundamentals, including SERDES behavior and link training.
  • Hands-on lab proficiency with tools like oscilloscopes, protocol analyzers, and silicon debug tools.
  • Ability to debug across the full stack: hardware, firmware, drivers, and platform design.
  • Statistical proficiency to recognize significant trends in marginal distributions.

Responsibilities

  • Own post-silicon bring-up, characterization, validation, and debug of HSIO interfaces across NVIDIA products.
  • Drive root cause analysis across multiple systems and validate fixes through confirmation.
  • Define the validation strategy and set testing parameters to mitigate silicon risks.
  • Develop and manage AI agents for automated debugging and data analysis to enhance efficiency.
  • Ensure robust interoperability across hardware ecosystems involving various devices and architectures.
  • Participate in key decision-making processes impacting design alignment across teams.
  • Translate real-world silicon experiences into improved methodologies for future products.

Benefits

  • Flexible hybrid work model with the potential for remote work.
  • Opportunity to impact cutting-edge technology in a leading AI infrastructure company.
  • Collaboration with top-tier engineering teams across various disciplines.
  • Access to advanced tools and technology for personal and professional development.
Full Job Description
Most engineers debug within a layer. You will own the full stack. When an interface fails to train, the link margin is unexpectedly tight, or a customer reports a critical silicon issue, you trace the problem through protocol behavior, signal integrity, firmware, platform topology, and silicon marginalities. You then confirm that the fix works. Your methodology shapes how NVIDIA validates high-speed interfaces across generations. Your decisions affect yield, production ramp, and field quality. This is not a coordination role. The engineers who do it well hold protocol depth and system breadth simultaneously, never lose the thread across hardware, firmware, and software, and have the judgment to know when to go deeper and when to act. They are rare. Should that describe you, read on.

What you'll be doing:
  • Own post-silicon bring-up, characterization, validation, and debug of PCIe, NVLink, C2C, and other HSIO interfaces across NVIDIA GPUs, CPUs, and SoCs from first power-on through production readiness.
  • Close the hardest failures. Drive root cause across protocol behavior, signal integrity, firmware and driver interactions, platform topology, and silicon marginalities and own every fix through to confirmation.
  • Define validation strategy. Set test coverage, debug priorities, margining methodology, and stress criteria for each program. Your strategy is what stands between a silicon risk and a customer escape.
  • Own and build AI agents that operate under your direction. These include automated debug triage, intelligent data pipelines, and analysis flows. They reduce cycle time and identify issues before production. Know where AI accelerates real work and where it introduces risk.
  • Ensure robust interoperability across the full ecosystem: retimers, switches, accelerators, CPUs, GPUs, and sophisticated multi-device system topologies.
  • Sit at the decision table. Your analysis drives alignment across architecture, logic design, circuit design, firmware, drivers, ATE, DGX, and product teams. Your data is what settles calls.
  • Translate what you learn on real silicon into methodology and coverage improvements that make future products harder to escape.


What we need to see:
  • BS or MS in Electrical Engineering, Computer Engineering, or Systems Engineering, or equivalent experience in the lab.
  • 8+ years in silicon validation, HSIO bring-up, or high-speed interface debug on real hardware.
  • Deep protocol expertise in PCIe, NVLink, CXL, C2C, Ethernet, USB, or similar high-speed interface technologies.
  • Strong signal integrity fundamentals: SERDES behavior, link training, equalization, clocking, reset, power management, and high-speed board and system interactions.
  • Hands-on lab depth: oscilloscopes, BERTs, protocol analyzers, logic analyzers, exercisers, and silicon debug tools.
  • The ability to debug across the full stack, hardware, firmware, drivers, and platform design, without losing the thread.
  • Enough statistical proficiency to recognize the moments a marginal distribution is telling you something and enough develop intuition to know where to look next!


Ways to stand out:
  • Recognized depth in PCIe, NVLink, CXL, or advanced SERDES validation, with failures that other teams brought to you.
  • You've built or deployed AI-driven flows for HSIO debug or failure triage, and can speak to both the outcome and the guardrails.
  • Track record of solving customer-critical or production-blocking HSIO failures under schedule pressure and driving them all the way through.
  • Experience setting technical direction across a validation organization or developing engineers into recognized subsystem experts.


The interfaces you validate move data between the chips that run the world's AI infrastructure. When they work, nobody notices. When they don't, everything stops. If that is the kind of problem you want to own, we want to hear from you.

#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 168,000 USD - 264,500 USD for Level 4, and 196,000 USD - 310,500 USD for Level 5.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until July 31, 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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