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 and lead the charge in revolutionizing AI technology! As a Senior DFT Engineer, you'll develop and implement powerful Design for Test (DFT) architecture for next-gen AI Chips. Collaborate with cross-functional teams to apply innovative DFT methodologies, ensuring high-quality products that compete on a global scale. This is your opportunity to work on innovative technology in an encouraging and diverse environment!
What you'll be doing:
Define and implement SCAN, MBIST, and JTAG debug structures, applying sophisticated DFT techniques to drive post-Si testing plans.
Drive the creation of ATPG and MBIST test vectors.
Build DFT timing constraints and partner with the Physical Design and STA sign-off team to ensure timing closure in DFT mode.
Work closely with the post-silicon team to bring up test patterns on silicon, ensuring flawless bringup.
Collaborate with the CAD methodology team to introduce innovative and intelligent AI driven optimizations, improving efficiency in DFT implementation.
What we need to see:
Bachelor's or M.S. in Computer Engineering or Electrical Engineering (or equivalent experience) with 5+ years of industry experience in DFT for high-performance ASICs.
Practical experience with SCAN/MBIST/Test generation tools and processes for large SoC/ASIC.
Domain expertise in DFT techniques such as ATPG, test pattern translation, yield learning, scan compression, MBIST, IEEE 1500 standard, and LBIST.
Familiarity with ATPG Streaming SCAN Network (SSN) implementation.
Experience with UDFMs like Cell Aware and Small Delay Defect.
Consistent track record in yield estimation and test optimization.
Experience working with real silicon in the lab and debugging DFT test sequences on ATE to resolve silicon issues.
Solid understanding of RTL to GDS methodologies and formal equivalence.
Excellent coding skills in Tcl and Python.
Outstanding interpersonal and organizational skills with a strong desire to work as part of a team with varied strengths.
Widely considered to be one of the technology world’s most desirable employers, NVIDIA offers highly competitive salaries and a comprehensive benefits package. As you plan your future, see what we can offer to you and your family www.nvidiabenefits.com/
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 136,000 USD - 218,500 USD for Level 3, and 168,000 USD - 264,500 USD for Level 4.You will also be eligible for equity and benefits.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
NVIDIA is committed to fostering a diverse work environment and 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.Skills Required
- Bachelor's or M.S. in Computer Engineering or Electrical Engineering
- 5+ years of industry experience in DFT for high-performance ASICs
- Experience with SCAN/MBIST/Test generation tools and processes
- Domain expertise in DFT techniques such as ATPG, test pattern translation, yield learning
- Familiarity with ATPG Streaming SCAN Network (SSN) implementation
- Experience with UDFMs like Cell Aware and Small Delay Defect
- Consistent track record in yield estimation and test optimization
- Experience working with real silicon in the lab
- Solid understanding of RTL to GDS methodologies and formal equivalence
- Excellent coding skills in Tcl and Python
- Outstanding interpersonal and organizational 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.”
