NVIDIA

NVIDIA

Posted via Workday

Senior DFT Engineer

Posted Aug 5, 2026

Role at a glance

Job function
Engineering & R&D Semiconductor & Display Engineering
Salary
Not Disclosed
Location
Santa Clara, California, United States
Work arrangement
Hybrid
Employment
Full-time
Experience
BSEE (or equivalent experience) with 5+, MSEE with 3+ years of experience or PhD in DFT or related domains
Education
BSEE (or equivalent experience) with 5+, MSEE with 3+ years of experience or PhD in DFT or related domains

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Role Summary

AI-generated

This Design-for-Test Engineering role works on DFT architecture, verification, and post-silicon validation for complex semiconductor chips. The engineer collaborates with cross-functional teams to implement test designs and develop methodologies for next-generation products.

What You'll Do

  • Implement test access mechanisms, IO BIST, memory BIST, and scan compression with cross-functional teams.
  • Help develop and deploy DFT methodologies for next-generation products.
  • Mentor junior engineers on test designs and trade-offs, including cost and quality.

Generated from the employer's posting. Verify important details before applying.

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Qualifications

BSEE or equivalent experience with 5+ years, MSEE with 3+ years, or a PhD in DFT or related domains. Requires expertise in scan test plans, BIST for memories and IOs, fault modeling, ATPG, and fault simulation; analytical skills for verification and validation of test patterns and logic on complex, multi-million-gate designs; exposure to RTL and clock design, STA, place-and-route, and power; silicon debug and ATE bring-up experience; and strong written and oral communication skills.

Required

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

Preferred

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

Original job description

Content provided by the employer

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, IO BIST, memory BIST and scan compression.

  • 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 5+, MSEE with 3+ years of experience or PhD in DFT or related domains

  • Demonstrated knowledge and expertise in defining scan test plans, BIST including memories and IOs, fault modeling, ATPG and fault simulation

  • 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

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

  • Extraordinary written and oral communication skills with the curiosity to work on rare challenges

Our technology has no boundaries! NVIDIA is building the world’s most groundbreaking and state of the art compute platforms for the world to use. It’s because of our work that scientists, researchers and engineers can advance their ideas.  At its core, our visual computing technology not only enables an outstanding computing experience, but it is also energy efficient!  We pioneered a supercharged form of computing loved by the most demanding computer users in the world - scientists, designers, artists, and gamers.

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 136,000 USD - 218,500 USD for Level 3, and 168,000 USD - 264,500 USD for Level 4.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until October 4, 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.

NVIDIA

About the company

NVIDIA

Large Enterprise

NVIDIA is a leading technology company renowned for its graphics processing units (GPUs) and innovative computing solutions that enhance visual experiences across multiple platforms, including gaming, scientific research, and artificial intelligence. Founded in 1993, the company has expanded its offerings to include powerful AI frameworks and deep learning platforms, making significant contributions to industries such as gaming, data centers, automotive, and healthcare. NVIDIA's commitment to pushing the boundaries of visual computing continues to drive advancements in both hardware and software, positioning the company at the forefront of emerging technologies and digital transformation.