DFT Engineer - Hardware

Posted Yesterday
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Bengaluru, Bengaluru Urban, Karnataka
Junior
Artificial Intelligence • Hardware • Robotics • Software • Metaverse
The Role
As a DFT Engineer at NVIDIA, you will design and implement advanced test access mechanisms, perform verification and silicon bringup of DFT features, and develop methodologies for next-gen products while collaborating with cross-functional teams.
Summary Generated by Built In

NVIDIA has continuously reinvented itself. Our invention of the GPU sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. Today, research in artificial intelligence is booming worldwide, which calls for highly scalable and massively parallel computation horsepower that NVIDIA GPUs excel. Make the choice to join us today. NVIDIA is an equal opportunity employer. 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. We are looking for a DFT Engineer.

What you'll be doing:

  • As a member in our team, you will be responsible for the design and implementation of state-of-the-art designs in test access mechanisms, IO BIST, memory BIST and scan compression.

  • Your responsibility will also include verification and silicon bringup of Scan ATPG and other DFT features.

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

  • Be apart of innovation to strive improve the quality of DFT methods.

  • You will also need to work with multi-functional teams to incorporate DFT features into the chip.

  • Occasional travel and also some late hours online meetings involved during critical milestones.

What we need to see:

  • BSEE or MSEE from reputed institutions or equivalent experience with 2+ years of experience

  • You should be well versed with static timing Analysis, ECO, ASIC/Logic Design Flow, HDL and Digital logic design.

  • Experience in RTL and Gates verification and simulation.

  • You need to be familiar with BIST architecture and JTAG/IEEE1149.1/IEEE1500.

  • Strong DFT knowledge in Scan ATPG, compression techniques and memory test.

  • Strong analytical and problem solving skills with good scripting knowledge (either Perl / Python)

#LI-Hybrid

Top Skills

Perl
Python
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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