We are looking for a Chip Design Verification Engineer to develop the next generation of DFT technologies.
As a Chip Design Verification Engineer in the DFT team at NVIDIA, you will verify the design and implementation of our DFT technologies in various projects. This position offers the opportunity to have real impact in a dynamic, technology-focused company impacting Switches, Nic and SoC product lines. We are working closely with a wide range of aspects - chip design, backend, verification and production testing. We are working on the most advanced technologies and complex products. Our DFT solutions are unique, innovative, and we are continuously looking for new and creative solutions to meet the challenging goals.
What you'll be doing:
In this position, you will be responsible for verification of the DFT design, architecture and micro-architecture using sophisticated verification methodologies.
As a member of our DFT verification team, you'll understand the design & implementation, define the verification scope, develop the verification infrastructure (Testbenches, BFMs, Checkers, Monitors), execute test/coverage plans, and verify the correctness of the design.
Collaborate with architects, designers, emulation, production testing and silicon verification teams to accomplish your tasks.
What we need to see:
BSc. in Electrical Engineering or Computer engineering, or equivalent experience.
3+ years of practical verification experience.
Experience in developing verification environments and random based verification for unit level and system level using verification tools (simulation tools, Verilog, debug tools like Simvision/Debussy).
Experience with Specman is a plus.
Good understanding of RTL design (Verilog).
Strong debugging, problem solving and analytical skills.
Excellent communication and social skills.
Ability to work in a geographically diverse team environment.
Self motivated, independent and target oriented.
NVIDIA has some of the most forward-thinking and hardworking people in the world working for us. Are you creative and autonomous? Do you love the challenge of developing the next generation technologies? If so, we want to hear from you. Come, join our DFT verification Team for a challenging and educational environment, where every individual has a significant contribution to our products and achievements!
Skills Required
- BSc in Electrical Engineering or Computer Engineering or equivalent experience
- 3+ years of practical verification experience
- Experience developing verification environments and random-based verification for unit and system level
- Experience with simulation and debug tools (simulation tools, Verilog, Simvision, Debussy)
- Experience with Specman
- Good understanding of RTL design (Verilog)
- Strong debugging, problem solving and analytical skills
- Excellent communication and social skills
- Ability to work in a geographically diverse team environment
- Self-motivated, independent and target oriented
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.”
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