NVIDIA Corporation

Senior Applied AI and AI Infrastructure Engineer - Chip Design and DFX

NVIDIA Corporation$200K — $379K *
Enterprise Technology
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • BSEE (or equivalent) with 12+ years, MSEE with 10+, or PhD with 6+ years in AI Infrastructure management, Applied Machine Learning, and Gen AI.
  • In-depth knowledge in building agents and multi-agent ecosystems.
  • Proficiency with SQL, ETL, and data modeling methodologies.
  • Extensive hands-on experience with cloud platforms like AWS, Azure, or GCP.
  • Experience architecting and optimizing globally distributed systems for high availability and performance standards.
  • Strong skill set in data modeling, performance tuning, and capacity planning for Gen AI workloads.
  • Solid programming capabilities in Python and C++.

Responsibilities

  • Lead Applied AI projects that integrate ML and Generative AI expertise.
  • Manage deployment cycles across the organization to ensure robust AI infrastructure.
  • Act as a liaison between on-prem infrastructure teams and software development teams to streamline processes.
  • Tackle complex problems in the Design For Test area using algorithm design and statistical analysis tools.
  • Develop and implement DFT methodologies for future products using Generative AI solutions.
  • Mentor junior engineers in test design and the implications of trade-offs regarding cost and quality.

Benefits

  • Comprehensive benefits package including equity options.
  • Opportunity to work with a highly talented team of engineers.
  • Environment focused on innovation and forward-thinking technology solutions.
  • Potential for career growth in a rapidly expanding company.
Full Job Description
Design-for-X Engineering at NVIDIA works on groundbreaking innovations involving crafting creative solutions in AI for Chip Design and AI for Predictions in various use cases in manufacturing testing on some of the industry's most complex semiconductor chips.

What you'll be doing:
  • As a senior member in our team, you will work on Applied AI projects that requires ML & Gen AI expertise.
  • You will work on building and managing deployment cycles as part of the AI Infrastructure requirements at an org-wide level.
  • For setting up a robust AI infrastructure, you will be the liaison between on-prem infrastructure teams and SW dev teams, while monitoring performance, automating deployments and maintaining code pipelines.
  • You will work on hard-to-solve problems in the Design For Test space which will involve application of algorithm design, using statistical tools to analyze and interpret complex datasets and explorations using Applied AI methods.
  • In addition, you will help develop and deploy DFT methodologies for our next generation products using Gen AI solutions.
  • You will also help mentor junior engineers on test designs and trade-offs including cost and quality.


What we need to see:
  • BSEE (or equivalent experience) with 12+, MSEE with 10+, or PhD with 6+ years of experience in AI Infrastructure management, Applied Machine Learning and Gen AI.
  • Excellent knowledge in building agents and multi-agentic ecosystems
  • Experience with SQL, ETL, and data modeling
  • Hands-on experience with cloud platforms (AWS, Azure, GCP)
  • Architect and optimize multi-region, globally distributed systems to meet our high standards for availability, latency, and throughput
  • Lead data modeling, performance tuning, and capacity planning for large-scale mission-critical Gen AI workloads
  • Strong programming skills in Python, C++ expected
  • Outstanding written and oral communication skills with the curiosity to work on rare challenges.


Ways to stand out from the crowd:
  • Experience in Ai infrastructure management for real-world systems
  • Experience in application of AI for Chip Design problem-solving
  • Good understanding of technology and passionate about what you do
  • Strong collaborative and interpersonal skills, specifically a proven ability to effectively guide and influence within a dynamic environment


NVIDIA offers highly competitive salaries and a comprehensive benefits package. We have some of the most forward-thinking and talented people in the world working for us and, due to unprecedented growth, our world-class engineering teams are growing fast. If you're a creative and autonomous engineer with real passion for technology, we want to hear from you!

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 200,000 USD - 322,000 USD for Level 5, and 248,000 USD - 379,500 USD for Level 6.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until June 19, 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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