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DFX Methodology Engineer

7 Hours ago • 2 Years + • Research & Development

Job Summary

Job Description

As a DFX Methodology Engineer at NVIDIA, you will collaborate with cross-functional teams to implement state-of-the-art designs in test access mechanisms (JTAG, I1149.1, I1500, I1687, IO BIST, memory BIST, scan, and array dump). You will develop and deploy DFT methodologies for next-generation products, mentor junior engineers, and ensure optimal test design trade-offs regarding cost and quality. Experience with silicon debug and bring-up on ATE, understanding pattern formats, failure processing, and test program development is crucial. Knowledge of DFT security and hardware system security is a plus. The role involves working with RTL & clocks design, STA, place-n-route, and power considerations.
Must have:
  • 2+ years experience (BSEE or equivalent)
  • DFT expertise
  • Excellent analytical skills
  • Cross-functional collaboration
  • Silicon debug and ATE experience
  • Programming skills (Perl, Python, Tcl)
Good to have:
  • DFT security knowledge
  • Hardware system security knowledge
  • MSEE or PhD
Perks:
  • Highly competitive salaries
  • Comprehensive benefits package

Job Details

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, IO BIST, memory BIST, scan and array dump and DFX security methodology.

  • In addition, you will help 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 2+ 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. 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.

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About The Company

Since its founding in 1993, NVIDIA (NASDAQ: NVDA) has been a pioneer in accelerated computing. The company’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined computer graphics, ignited the era of modern AI and is fueling the creation of the metaverse. NVIDIA is now a full-stack computing company with data-center-scale offerings that are reshaping industry.


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