NVIDIA Corporation

Senior ASIC Front End Infrastructure Engineer

NVIDIA Corporation$184K — $356K *
Consumer Technology
8 - 10 years of experience
Job Overview by Ladders

Qualifications

  • Masters Degree in Electrical Engineering, Computer Engineering, Computer Science, or equivalent experience
  • 8+ years of relevant work experience
  • Proficient in programming languages like Python or Perl; OO design skills preferred
  • Experience with AI tools for development and automation
  • Familiarity with Make-based build systems in large, distributed computing environments
  • Experience with Continuous Integration pipelines, such as Jenkins
  • Strong problem-solving and debugging skills
  • Good interpersonal skills and ability to work collaboratively as a team member

Responsibilities

  • Deploy AI toolsets securely for all HW Design teams
  • Automate Infrastructure tasks using ML/DL/AI techniques to boost team productivity
  • Enhance GPU front end build flow for improved speed and flexibility
  • Maintain the GPU Continuous Integration system at the forefront of source management
  • Guide compute farm, filer, and network topology at a cloud scale
  • Continuously improve technologies for compute farms, including containers and distributed compute
  • Forecast HW Design compute resource and EDA needs, reporting to the CFO
  • Implement tracking metrics to resolve operational issues and enhance design productivity

Benefits

  • Eligible for equity and benefits
Full Job Description

What you'll be doing:

  • Deploy AI toolsets at scale in secure configurations for use by all HW Design teams

  • Use ML/DL/AI techniques to automate Infrastructure work and improve Design teamproductivity

  • Improve the speed,flexibilityand extensibility of the GPU front end build flow

  • Keep the GPU Continuous Integration system at thecutting edgeofsource management methodologies

  • Guide compute farm,filer, and network topology requirementsat cloud scale

  • Deployand continuously improvecompute farm technologies such as containers, volume cloning, distributedstorageand distributed compute atcloudscale

  • Forecast HW Design compute resource and EDA needs, with reporting up to the CFOs office

  • Deploy tracking metrics to resolve operational issues, drive forecasting, and improve design productivity

  • Deploy information security methods for HW design

  • Remove inefficiency wherever you can find it!

What we need to see:

  • MastersDegree in Electrical Engineering, Computer Engineering, Computer Science or related or equivalent experience

  • 8+ years of relevant work experience

  • Programmingproficiencyin Python, Perl, or other Systems Programming language. OO design preferred.

  • Experience using AI tools for development and automation

  • Experience with Make based build systems in large, distributed computing environments

  • Continuous Integration pipeline and/or pre-submit verification flow experience, for example using Jenkins

  • You should display a tenacity to root cause and fix Infrastructure problems, especially intermittent,hard to isolateissues in a complex computing environment

  • Verification domain knowledge with complex ASICs or CPUs using techniques such as random stimulus, functionalcoverageand assertion-based verification methodologies

  • Strong problem-solving,debuggingand analytical skills

  • Good interpersonal skills and ability & desire to work as a great teammate

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 July 27, 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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