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. 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.
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.
1+ 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
Skills Required
- BTech/BE/BS or MTech/ME/MS in EE/ECE or equivalent experience
- Understanding of logic design, architecture and verification
- Strong coding skills in industry-standard scripting languages (Perl, Python)
- Exposure to DFT circuits and methodology (Memory BIST, JTAG, IO BIST, ATPG)
- Experience with SystemVerilog and UVM verification methodologies
- 1+ years experience with verification flows (constrained random testing, coverage metrics, profiling tools, X prop)
- Strong analytical and problem-solving skills
- Outstanding written and oral communication skills
NVIDIA Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about NVIDIA and has not been reviewed or approved by NVIDIA.
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Equity Value & Accessibility — Equity awards and a discounted ESPP are highlighted as core parts of total compensation, enabling employees to share in the company’s success. Stock-based compensation and the two-year lookback ESPP are consistently described as especially valuable.
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Healthcare Strength — Health coverage is portrayed as robust, with comprehensive medical, dental, and vision options alongside mental health support and on-site care resources. Employer HSA contributions and wellness perks reinforce the depth of the offering.
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Retirement Support — Retirement programs are depicted as strong, featuring a meaningful 401(k) match with Roth options and support for Mega Backdoor Roth contributions. These elements position long-term savings as a notable advantage of the total rewards package.
NVIDIA Insights
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.”






