NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people. Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world.
Join NVIDIA, where we push the boundaries of what's possible! As a Senior DFT Verification Engineer, you will be part of a team that is at the forefront of innovation in AI and accelerated computing. This role offers you the chance to contribute to groundbreaking projects while collaborating with some highly skilled professionals in the industry. Based in Bangalore, Karnataka, you will play a crucial role in ensuring the flawless execution of our dynamic projects. If you're ambitious and passionate about making an impact, this is the perfect opportunity for you!
What you'll be doing:
As a valued member of our team, you will take end-to-end ownership of DFX verification, pattern development, and silicon bring-up for a range of test features—including JTAG, boundary scan, security mechanisms, reliability tests like HTOL/IDDQ and test clocking—across various test modes, including multiple ATPG configurations in multi-die environments.
Work closely with various DFX teams, CAD, and methodology teams to improve the flows and processes.
In addition, you will help develop and deploy DFT methodologies for our next-generation products.
Be a part of innovation to strive to improve the quality of DFT methods and AI deployment in the processes.
You will also need to work with multi-functional teams to incorporate DFT features into the chip.
What we need to see:
BSEE or MSEE from reputed institutions or equivalent experience with 3+ years of experience.
You should be proficient in static timing analysis, ECO, ASIC/Logic Design Flow, HDL, and Digital logic design.
Experience in RTL and Gates verification, simulation, and silicon bring-up.
You need to be familiar with BIST architecture and JTAG/IEEE1149.1/1500/1687/1838.
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
Skills Required
- BSEE or MSEE or equivalent experience with 3+ years of experience.
- Proficiency in static timing analysis, ECO, and ASIC/Logic design flow.
- Proficient in HDL and digital logic design.
- Experience in RTL and gate-level verification, simulation, and silicon bring-up.
- Familiarity with BIST architecture and JTAG/IEEE1149.1/1500/1687/1838 standards.
- Strong DFT knowledge in Scan ATPG, compression techniques, and memory test.
- Strong analytical and problem-solving skills with scripting knowledge (Perl or Python).
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.”
