NVIDIA Corporation

Senior ASIC Design Verification Infrastructure and Tools Engineer - GPU

NVIDIA Corporation$136K — $264K *
Consumer Technology
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • BS or MS in Electrical Engineering, Computer Engineering, Computer Science, or equivalent experience.
  • 5+ years of relevant industry experience.
  • Strong understanding of ASIC development workflows, including builds, simulation, regressions, debug, integration, and qualification.
  • Experience with verification methodology such as UVM or similar.
  • Strong programming skills in Python, Perl, or another scripting/systems programming language.

Responsibilities

  • Apply practical AI workflows for debug assistance and workflow automation.
  • Build and improve integration, build, simulation, and pre-submit qualification flows for ASIC IP development.
  • Improve CI reliability and turnaround time across distributed compute environments.
  • Conduct root-cause analysis on complex failures in tools and systems.
  • Develop automation for recurring integration or qualification challenges.
  • Define and publish metrics for integration latency and engineering efficiency.
  • Collaborate across teams, including ASIC designers and firmware engineers.

Benefits

  • Eligible for equity and benefits.
Full Job Description
NVIDIA is seeking a Senior ASIC Compose Verification Infrastructure and Tools Engineer to advance the systems that qualify, integrate, and deliver complex ASIC IP across multiple products. This role is ideal for an RTL compose or pre-silicon verification engineer who has developed a strong interest in infrastructure, automation, CI, metrics, and efficiency tooling. Our high-speed IO infrastructure team develops the flows that keep large-scale ASIC development moving: integration automation, pre-submit qualification, build and verification infrastructure, operational metrics, and debug workflows. You will work across build, verification, firmware, methodology, and infrastructure teams to make sophisticated engineering systems faster, more reliable, and easier to reason about. You'll also have access to innovative AI efficiency tools, and we're looking for someone excited to help us apply them effectively. What You'll Be Doing: • Apply practical AI workflows where they build leverage, including debug assistance, run triage, summarization, documentation, and workflow automation. • Build and improve high-speed IO integration, build, simulation, and pre-submit qualification flows for large ASIC IP development. • Improve CI reliability, turnaround time, debuggability, and scalability across distributed compute environments. • Root-cause complex failures across development, verification, build systems, tools, infrastructure, and compute environments. • Turn recurring integration or qualification difficulties into durable automation and process improvements. • Define, publish, and actively use metrics for integration latency, flow health, failure trends, and engineering efficiency. • Bring metrics into engineering discussions to guide priorities, forecast risk, and optimize the systems we operate. • Collaborate with ASIC designers, verification engineers, firmware engineers, methodology teams, and infrastructure partners. • Dive into unfamiliar technical areas, understand how the system works end to end, and drive ambiguous problems to closure. What We Need To See: • BS or MS in Electrical Engineering, Computer Engineering, Computer Science, or equivalent experience. • 5+ years of relevant industry experience. • Strong understanding of ASIC development workflows, including builds, simulation, regressions, debug, integration, and qualification. • Experience with verification methodology such as UVM or similar. • Strong working knowledge of Verilog/SystemVerilog, including RTL development or pre-silicon verification/debug experience. • Exposure to industry simulation and debug tools such as VCS, Verdi, Xcelium, or similar. • Strong programming skills in Python, Perl, or another scripting/systems programming language. • Experience with SystemVerilog and object-oriented verification environments. • Strong root-cause analysis skills, especially for intermittent or hard-to-isolate infrastructure failures. • Self-directed execution: ability to take a loosely defined technical problem, investigate across domains, and deliver a working solution. Ways To Stand Out From The Crowd: • Established passion for infrastructure, automation, and driving efficiency gains outside your core RTL or DV tasks. • Strong curiosity about how complex systems operate and a track record of diving across build, verification, tooling, and infrastructure boundaries to solve problems. • Practical experience applying AI tools to engineering workflows, including debug automation, summarization, or tool-assisted development. • Strong engineering habits centered on clear data: defining useful signals, using them in technical conversations, and optimizing systems against them. • Experience providing ASIC IP for several products, projects, or SoCs simultaneously. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 136,000 USD - 218,500 USD for Level 3, and 168,000 USD - 264,500 USD for Level 4. You will also be eligible for equity and benefits. Applications for this job will be accepted at least until August 17, 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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