NVIDIA Corporation

Silicon Validation Engineer

NVIDIA Corporation$116K — $218K *
Telecommunications & Hardware
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • BS/MS in Electrical Engineering or Computer Engineering (or equivalent experience)
  • 2+ years in silicon bring-up, ASIC validation, or system-level debug
  • Strong knowledge of PVT, timing (STA), signal integrity, power, and high-speed IO (PCIe, chip-to-chip)
  • Understanding of firmware/driver-hardware interaction
  • Experience or interest in data-driven workflows, telemetry, and AI/LLM-assisted development
  • Ability to thrive in a collaborative environment.

Responsibilities

  • Design system-level validation strategies for complex architectures and corner cases
  • Build AI-assisted, data-driven validation workflows to enhance coverage and efficiency
  • Profile real workloads across various applications like HPC and video
  • Deploy scalable automation and telemetry pipelines
  • Drive silicon bring-up and root-cause debug using reusable methods.

Benefits

  • Eligibility for equity
  • Opportunity for hybrid work
  • Work within a unique end-to-end perspective on next-generation systems
  • Collaborative environment with cross-functional teams
Full Job Description

NVIDIA Silicon Co-design Group is seeking a versatile engineer to join the HW ArchDev Methodology team. SCG operates across the full product lifecycle—from early architecture definition through silicon bring-up to production—providing a unique end-to-end perspective on next-generation systems

You define how validation is done. Not how it's been done, how it should be done, for chips that don't exist yet. NVIDIA's HW ArchDev Methodology team sits at a rare intersection: architecture, silicon bring-up, and production, all in one group. We build the validation strategies, automation frameworks, and telemetry systems that determine whether next-generation GPUs and AI accelerators ship on time and at quality. The problems are novel. The stakes are real.

What you’ll be doing:

  • Design system-level validation strategies for complex architectures, corner cases, PVT, large-scale behavior, feature interactions

  • Build AI-assisted and data-driven validation workflows that improve coverage, debug turnaround, and efficiency

  • Profile real workloads: training, inference, HPC, video, and emerging applications

  • Deploy automation and telemetry pipelines that scale across products and teams

  • Drive silicon bring-up and root-cause debug with reusable, high-leverage methods

What we need to see:

  • BS/MS in EE/CE (or equivalent experience)

  • 2+ years in silicon bring-up, ASIC validation, or system-level debug

  • Grounding in PVT, timing (STA), signal integrity, power, and high-speed IO (PCIe, chip-to-chip)

  • Understanding of firmware/driver-hardware interaction

  • Experience or curiosity around data-driven workflows, telemetry, and AI/LLM-assisted development

  • Thrive in a collaborative environment.

Ways to Stand Out from the crowd:

  • You've applied AI/ML or LLMs to validation, debug automation, or workload analysis, not just mentioned it

  • You've built infrastructure others still use: pipelines, observability systems, debug tools

  • You have artifacts: postmortems, test methods, tools, papers, or dashboards that show how you think

  • You've driven cross-functional work across architecture, firmware, validation, and manufacturing

If you've ever looked at a validation process and redesigned it from first principles, we want to talk!

#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 116,000 USD - 189,750 USD for Level 2, and 136,000 USD - 218,500 USD for Level 3.

You will also be eligible for equity and .

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

Similar Jobs

More Jobs at NVIDIA Corporation

More Telecommunications & Hardware Jobs

Find similar Silicon Validation Engineer jobs: