NVIDIA Corporation

Senior DFT Engineer

NVIDIA Corporation • $168K — $310K *
Technical Services
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • BSEE or equivalent with 8+ years or MS with 6 years of experience in related field.
  • Solid understanding of DFT concepts and the interplay between design and post-silicon behavior.
  • Experience in silicon bring-up, debug, validation, and production test analysis.
  • Strong analytical skills to assess complex datasets and support engineering decisions.
  • Familiarity with automated test environments and test-program flows.
  • Knowledge of semiconductor fundamentals and their impact on silicon results.
  • Excellent communication skills for cross-disciplinary collaboration.

Responsibilities

  • Drive post-silicon enablement of DFT capabilities from silicon bring-up to production support.
  • Develop data-driven approaches to analyze test results and yield behavior.
  • Influence DFT architecture by communicating post-silicon requirements early.
  • Define and enhance methodologies for silicon bring-up and production deployment.
  • Productize new DFT capabilities with scalable flows and validation criteria.
  • Contribute to modeling that supports test-time optimization and quality improvement.
  • Partner with design and product teams to align pre-silicon and post-silicon processes.

Benefits

  • Comprehensive benefits package for employees.
  • Opportunity to work with some of the brightest minds in the field.
  • Environment that encourages creativity and autonomy in engineering.
  • Potential for equity participation in the company.
Full Job Description
As a Senior DFT Engineer - Post-Silicon , you will take pioneering DFT capabilities beyond implementation-connecting silicon behavior, test data, and product learning to deliver robust, production-ready DFT solutions for NVIDIA's most advanced chips.

What You'll Be Doing:
  • Drive post-silicon enablement of DFT capabilities from initial silicon bring-up through production ramp and lifecycle support.
  • Develop data-driven approaches to analyze test results, quality indicators, yield behavior, and test efficiency; translate findings into practical technical recommendations.
  • Influence DFT architecture and implementation by communicating post-silicon requirements early with clear metrics/what-if analysis.
  • Define and improve methodologies for silicon bring-up, failure analysis, test-content validation, and production deployment.
  • Help productize new DFT capabilities by establishing scalable flows, validation criteria, debug procedures, and documentation.
  • Contribute to modeling and analysis that supports test-time optimization, quality improvement, yield learning, test power.
  • Partner across design, product development, and test teams to align pre-silicon trade-offs with post-silicon execution.


What We Need To See:
  • BSEE (or equivalent experience) with 8+ years or MS with 6 years of experience in related field.
  • Solid understanding of DFT concepts, silicon test, and the relationship between design implementation, test content, and post-silicon behavior.
  • Experience with silicon bring-up, debug, validation, production test, or engineering analysis of semiconductor devices.
  • Ability to analyze complex datasets and use statistical or analytical approaches to identify trends, isolate issues, and support engineering decisions.
  • Familiarity with automated test environments and test-program flows.
  • Understanding of semiconductor fundamentals, including device behavior, process variation, and the impact of operating conditions on silicon results.
  • Strong written and oral communication skills, with an ability to collaborate effectively across technical disciplines.


Ways To Stand Out From The Crowd:
  • Experience moving a silicon feature, test capability, or validation flow from development through production deployment.
  • Working knowledge of core DFT features-including scan, ATPG, and MBIST-together with silicon characterization and manufacturing test.
  • Experience developing scalable engineering workflows, automation, dashboards, or analysis tools.


NVIDIA offers highly competitive salaries and a comprehensive benefits package. We have some of the most brilliant 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!

#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 October 5, 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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