Senior DFX Methodology Engineer

Posted Yesterday
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Santa Clara, CA
In-Office
136K-213K
Senior level
Artificial Intelligence • Computer Vision • Hardware • Robotics • Metaverse
The Role
The role involves implementing advanced designs in test access mechanisms and architecting DFT methodologies for cutting-edge semiconductor products while mentoring junior engineers on design strategies.
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, IO BIST, memory BIST, scan and array dump and DFX security methodology.

  • In addition, you will help architect, develop and deploy DFT methodologies for our next generation products

  • 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 3+ years of experience, MSEE (or PhD) with proven experience in DFT or related domains

  • 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.

  • Strong programming and scripting skills in Perl, Python or Tcl desired

  • 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.

#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 136,000 USD - 212,750 USD.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until October 21, 2025.NVIDIA is committed to fostering a diverse 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.

Top Skills

Perl
Python
Tcl
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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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