NVIDIA Corporation

Senior System Integration and Validation Engineer

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

Qualifications

  • BTech/BE or MTech/ME in Electronics, Electrical, or Computer Engineering (or equivalent) plus 8+ years of validation or platform debug experience.
  • Hands-on debug experience across silicon, board, and software boundaries, with strong EE fundamentals.
  • Proven ability to resolve multi-team failures with productized fixes and leadership in crisis situations.
  • Demonstrated capability in developing AI-driven validation workflows with measurable impact on debug processes.

Responsibilities

  • Own the end-to-end system validation for NVIDIA GPU and SoC platforms.
  • Lead debugging of complex cross-stack issues to root cause, driving effective solutions.
  • Develop automation and test plans for next-gen chips, translating technical specs into executable coverage.
  • Design AI-enabled validation workflows with guardrails and measurable outcomes.
  • Translate complex silicon risks into clear options for both technical and executive teams.
  • Collaborate with distributed teams in silicon design, DFT, firmware, and manufacturing.
  • Lead task forces during crises and document learnings for future methodologies.

Benefits

  • Access to equity opportunities.
  • Comprehensive health and wellness benefits.
  • Flexible work environment, including a hybrid model.
  • Opportunities for professional development and training.
Full Job Description
We are hiring a Senior Engineer to lead system validation, debug, and cross-functional alignment on one of our most consequential silicon programs. Your work will sit on the critical path of every flagship build, and the judgment you bring to ambiguous, multi-team failures is the difference between shipping on milestone and slipping! The two hardest, highest-leverage problems in this seat:
  • Find critical silicon and platform issues before they reach the customer - by shifting validation coverage left with system stress, PVT, and feature-interaction tests that catch escapes before software hardens. Your work shows up in DPPM, escape rate, and ramp confidence.
  • Build AI-enabled validation as a real capability, not a demo - by deploying debug, triage, root-cause hypothesis generation, and regression workflows with the evals and guardrails that make them trustworthy enough to gate production decisions.


What you'll be doing:
  • Own end-to-end system validation of NVIDIA GPU, SoC, and platform programs - feature checks, PVT stress, system-stress campaigns at scale, and multi-unit fleet testing.
  • Lead debug of the hardest cross-stack issues - logic, signal integrity, power delivery, firmware, and software interaction - and drive them to root cause with reusable workarounds and productized fixes.
  • Develop test plans, scripts, and automation for next-generation chips ahead of physical builds, translating architecture, boot flows, high-speed I/O, and power and thermal dependencies into executable coverage.
  • Design and deploy AI-enabled debug and validation workflows used by the team - with explicit guardrails (evals, regression validation, false-positive handling) and measurable impact on cycle time, debug velocity, or escape rate.
  • Translate complex silicon and system risk into decision-ready options for technical and executive audiences - without padding or hand-waving.
  • Partner with globally distributed teams across silicon design, DFT, firmware, software, manufacturing, and platform engineering - including counterpart engineers in India and other major hubs.
  • Lead crisis-mode debug task forces when a program is stuck, and convert the learnings into reusable methodology for adjacent programs.


What we need to see:
  • BTech/BE or MTech/ME in Electronics, Electrical, or Computer Engineering (or equivalent experience), plus 8+ years of post-silicon validation, system integration, or platform debug experience on shipped GPU, CPU, or SoC products.
  • Hands-on debug depth across silicon, board, and software boundaries - logic design, signal integrity, power delivery, high-speed I/O, and PVT behavior - with strong EE fundamentals across SI/PI, power delivery, and thermal, and a working understanding of GPU, CPU, or SoC architecture across PC, Datacenter, or Automotive.
  • At least one specific example of taking an ambiguous, multi-team failure to root-cause closure with a productized fix, and a track record of leading a project team end-to-end through a real crisis with decision points you owned.
  • Demonstrated AI-driven validation workflow you built or scaled, not just used - with adoption beyond yourself and measurable impact on debug velocity, coverage, or escape rate. You can describe the guardrails you put in place and where AI is dangerous in your workflow.


Ways to stand out from the crowd:
  • A history of building reusable validation methodology, debug playbooks, or test frameworks that were adopted by other programs or teams - backed by patents, conference papers, invited talks, or recognized contributions.
  • Hands-on subsystem depth in HBM, SerDes or high-speed I/O, power and thermal, or advanced packaging - failure modes, debug instrumentation, and the tradeoffs that show up in production.
  • Experience partnering deeply with a counterpart team in India or another major engineering hub - examples of shared culture, shared metrics, and shared on-call across geographies.
  • AI work that goes beyond personal-copilot use - agentic workflows, RAG-grounded debug assistants, regression bucketing, or automated triage deployed at team scope with adoption metrics.


#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 September 14, 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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