Senior DFT Engineer

Posted 17 Hours Ago
Be an Early Applicant
Santa Clara, CA
Senior level
Artificial Intelligence • Hardware • Robotics • Software • Metaverse
The Role
The Senior DFT Engineer will oversee testing methodologies, logic insertion, verification, test pattern generation, and debugging of the advanced technology team's processes. Responsibilities include optimizing design tradeoffs and collaborating on advanced packaging vehicles.
Summary Generated by Built In

Come be a part of new process technology adoption by joining NVIDIA's Advanced Technology Group! Work as part of the advanced technology team to optimize design tradeoffs and methodology on next generation CMOS technology. We are looking for a Senior DFT Engineer to join our dynamic and growing team! If you are problem solver and highly motivated individual searching for a collaborative and exciting role, join us today. We encourage applicants with a history of proven success working in a multicultural and diverse environment.

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 which are hard to solve, that only we can pursue, and that matter to the world. This is our life’s work, to amplify human inventiveness and intelligence.

What you'll be doing:

  • You will be responsible for all aspects of testing including methodology, logic insertion, verification, test pattern generation, test program bring-up, and complex debug/FA to resolve any issues.

  • Finding the right tradeoffs between test time and the ability to collect necessary data to monitor the health of next generation process nodes.

  • Work as part of the team to design and tapeout advanced packaging vehicles.

What we need to see:

  • Hold a BS in Electrical or Computer Engineering or equivalent experience.

  • 8+ years experience in design for test.

  • In-depth knowledge of various test architectures including IEEE1149.1, IEEE1500, SSN scan compression, IOBIST, and memory BIST.

  • Expertise in design verification and pattern generation. This includes developing new flows and enhancing existing flows.

  • Experience in doing ATE test program development and bring-up including specing custom test methods needed for data collection.

  • Hands-on knowledge of industry standard DFT EDA tools.

  • Proficiency in programming and scripting languages, such as Python, TCL, and Perl.

Ways to stand out from the crowd:

  • Experience with DDR and HBM high speed I/O testing.

  • Hands on experience with failure analysis equipment like LVP, photon emission, and ebeam probing.

  • Proficiency with Advantest 93k testers.

NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and talented people in the world working for us. If you're creative and autonomous, we want to hear from you.

The base salary range is 164,000 USD - 304,750 USD. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions.

You will also be eligible for equity and benefits. NVIDIA accepts applications on an ongoing basis.

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
The Company
HQ: Santa Clara, CA
21,960 Employees
On-site Workplace
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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