DFT Methodology Engineer

Posted 11 Hours Ago
Be an Early Applicant
Santa Clara, CA, USA
In-Office
168K-311K Annually
Expert/Leader
Artificial Intelligence • Computer Vision • Hardware • Robotics • Metaverse
The Role
Own and implement DFT architectures and test access mechanisms (IEEE standards, memory BIST, scan, memory dump, DFX security); architect and deploy DFT methodologies across RTL, verification, and pattern generation; collaborate with timing, physical design, software, bringup and production teams; perform silicon debug and ATE bring-up; mentor junior engineers on test design trade-offs.
Summary Generated by Built In

We are now looking for a DFT Methodology Engineer!

 

NVIDIA has continuously reinvented itself over two decades. Our invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing. NVIDIA is a “learning machine” that constantly evolves by adapting to new opportunities that are hard to solve, that only we can tackle, and that matter to the world. This is our life’s work, to amplify human imagination and intelligence. Make the choice to join us today. Design-for-Test Engineering at NVIDIA works on groundbreaking innovations involving crafting creative solutions for DFT architecture, verification and post-silicon validation on some of the industry's most complex semiconductor chips.

 

What you'll be doing:

  • As a member in our team, you will own and work with cross functional teams, implementing state-of-the-art designs in test access mechanisms, I1149.1, I1500, I1687, 1838, memory BIST, scan and memory dump and DFX security methodology.

  • In addition, you will help architect, develop and deploy DFT methodologies for our next generation products including RTL design, Verification, pattern generation, partnering with teams like timing, physical design, software, bringup, production

  • You will also help mentor junior engineers on test designs and trade-offs including cost and quality.

 

What we need to see:

  • Master’s degree (or equivalent experience) in Electrical Engineering or related field with proven experience in DFT or related domains.

  • 10+ years of hands-on experience in SoC architecture, RTL design, and verification.

  • Excellent analytical skills in verification and validation of test patterns and logic on complex and multi-million gate designs using vendor tools

  • Good exposure to cross functional areas including RTL & clocks design, STA, place-n-route and power, to ensure we are making the right trade-offs

  • Experience in Silicon debug and bring-up on the ATE with an understanding of pattern formats, failure processing, and test program development

  • Knowledge of DFT security and hardware system security is a plus.

  • Exceptional written and oral interpersonal skills with the curiosity to work on rare challenges

 

NVIDIA is widely considered to be the leader of AI computing, and one of the technology world’s most desirable employers. We have some of the most brilliant and talented people in the world working for us. If you're creative and autonomous, we want to hear from you. NVIDIA offers highly competitive salaries and a comprehensive benefits package.

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 July 17, 2026.

This posting is for an existing vacancy. 

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

Skills Required

  • Master's degree in Electrical Engineering or related field (or equivalent experience)
  • 10+ years hands-on experience in SoC architecture, RTL design, and verification
  • Experience implementing test access mechanisms and standards (IEEE 1149.1, 1500, 1687, 1838)
  • Experience with memory BIST, scan, memory dump and pattern generation
  • Excellent analytical skills in verification and validation of test patterns and logic on multi-million gate designs using vendor tools
  • Exposure to RTL & clock design, STA, place-and-route and power trade-offs
  • Experience in silicon debug and bring-up on ATE, including pattern formats and test program development
  • Knowledge of DFT security and hardware system security
  • Exceptional written and oral interpersonal skills

NVIDIA Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about NVIDIA and has not been reviewed or approved by NVIDIA.

  • Equity Value & Accessibility Equity awards and a discounted ESPP are highlighted as core parts of total compensation, enabling employees to share in the company’s success. Stock-based compensation and the two-year lookback ESPP are consistently described as especially valuable.
  • Healthcare Strength Health coverage is portrayed as robust, with comprehensive medical, dental, and vision options alongside mental health support and on-site care resources. Employer HSA contributions and wellness perks reinforce the depth of the offering.
  • Retirement Support Retirement programs are depicted as strong, featuring a meaningful 401(k) match with Roth options and support for Mega Backdoor Roth contributions. These elements position long-term savings as a notable advantage of the total rewards package.

NVIDIA Insights

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The Company
HQ: Santa Clara, CA
21,960 Employees
Year Founded: 1993

What We Do

NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, NVIDIA is increasingly known as “the AI computing company.”

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