Are you passionate about working on a team that is at the cutting and bleeding edge of hardware technology? Our Design-for-Test Engineering team 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 sophisticated semiconductor chips. We are looking for an experienced DFT Engineer to join the ATPG and Scan Insertion team. The position includes taking part in development of the next generation DFT technologies and working closely with a wide range of our groups and aspects - chip design, backend, verification, and production testing.
Working on the most advanced technologies and complex products, our DFT solution are unique and innovative internal developments, and we are continuously improving and evolving the solution to meet the challenging goals. If you find groundbreaking Technologies, and next generation products interesting, then this is the team for you. Take opportunity to join our team for an exciting and educational environment, where every individual has significant contribution to our products and achievements!
What you’ll be doing:
You will be in charge of state of the art Design for Test/ATPG flows and implementation
Take ownership end to end on a project, from Arch & planning to implementation, verification and post Silicon bring up.
Inventing and maintaining automation flows that provide the short test time to production
What we need to see:
5+ years of hands on DFT/ATPG or Physical Design experience knowledge & technical experience in DFT ASIC Design and in ATPG tools
Strong programming skills in scripting languages
BSc. in Electrical Engineering or Computer engineering
Quick learner, proactive and self-motivated, eager to learn and contribute, sense or ownership, commitment, and responsibility
Ways to stand out from the crowd:
Knowledge of DFT including scan, BIST, on-chip scan compression, fault models, ATPG, and fault simulation
Experience in Mentor TestKompress ATPG tool and retargeting flow
Programming languages: TCL, PRL, Phyton & Unix shell scripts
Experience with ATE and Silicon bring-up
NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most brilliant and talented people in the world working for us. If you're creative and autonomous, we want to hear from you! You will have the opportunity to work on some of the most incredible products on the market today.
Skills Required
- 5+ years of hands on DFT/ATPG or Physical Design experience
- Technical experience in DFT ASIC Design and in ATPG tools
- Strong programming skills in scripting languages
- BSc. in Electrical Engineering or Computer Engineering
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.”
