DFT Engineer

Posted 7 Hours Ago
Be an Early Applicant
Bengaluru, Bengaluru Urban, Karnataka
Junior
Artificial Intelligence • Hardware • Robotics • Software • Metaverse
The Role
The DFT Engineer will work on verifying state-of-the-art Memory BIST logic and other DFT circuits, develop robust test plans, simulate pre-silicon functionality, and work on automation and flow improvement using industry-standard tools.
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.

NVIDIA is a “learning machine” that constantly evolves by adapting to new opportunities that are hard to solve, that only we can address, and that matter to the world. This is our life’s work , to amplify human creativity and intelligence. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join our diverse team and see how you can make a lasting impact on the world!

This team 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 of the DFT team, you will be working on verification of state of art Memory BIST logic alongwith other DFT circuits like JTAG, IO BIST and ATPG.

  • You will be Validating test features with a robust & scalable testplan development at unit-level and SOC/Full Chip level using verification methodologies like UVM and NVIDIA Internal tools.

  • Simulating Pre-Silicon Simulation and Debug of Test functionality using standard Industry tools and sign- off on Test coverage for various products using standard coverage metrics.

  • Would work on automation, flow development & improvement, coverage metrics, test execution, bug identification/fix , and Memory-test productization.

  • Rich exposure and work on powerful Industry-standard tools for Design and verification methodologies. This includes SV, UVM, Perl, Python, and NVIDIA custom tools/flows.

  • Partner closely with our design team to understand our architecture, then collaborating with QA engineers to deliver good test coverage and improve software quality.

What we need to see:

  • Btech/BE/BS or Mtech/ME/MS in EE/ECE or equivalent experience

  • Solid Analytical and Problem-Solving skills.

  • Good understanding and Exposure to Logic design, Architecture & Verification

  • Strong Coding skills in industry- standard scripting languages.

  • Exposure to DFT circuits and methodology.

  • 2+ yrs of experience in Industry-standard verification flows like constrained random testing, UVM, coverage metrics, profiling tools, X prop, etc. will be plus.

  • Outstanding written and oral communication skills with the curiosity to learn.

Widely considered to be one of the technology world’s most desirable employers, NVIDIA offers highly competitive salaries and a comprehensive benefits package. NVIDIA is committed to fostering a diverse work environment and is 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.

#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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