Senior DFT Engineer

Posted 6 Hours Ago
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Santa Clara, CA, USA
In-Office
136K-265K Annually
Senior level
Artificial Intelligence • Computer Vision • Hardware • Robotics • Metaverse
The Role
Lead design and deployment of advanced silicon test methodologies, own cross-functional implementation of scan, BIST, and scan compression, and drive chip bring-up from pre-silicon to production. Develop standardized bring-up processes, mentor junior engineers, collaborate with VLSI and product teams, and validate test patterns and debug silicon failures.
Summary Generated by Built In

At NVIDIA, our Senior DFT Engineers lead the way in silicon test innovation, ensuring flawless execution and outstanding quality in our next-generation silicon platforms. This is an outstanding opportunity to join a world-class team and make a significant impact in the semiconductor industry!

What You'll Be Doing:

  • Design and roll out advanced test methodologies on NVIDIA’s next-generation silicon platforms.

  • Own and work with cross-functional teams to implement the latest in test access mechanisms, IO BIST, memory BIST, and scan compression.

  • Collaborate closely with VLSI and Product Engineering groups to design innovative DFT approaches that advance silicon test technology.

  • Lead end-to-end planning and timely execution of NVIDIA's new chip bring-up efforts, from pre-silicon through production deployment.

  • Develop and standardize methodologies, processes, and workflows for silicon bring-up, crafting reusable checklists and playbooks.

  • Improve cross-team communication, work, and handoffs.

  • Guide and mentor junior engineers, helping them navigate complex build trade-offs to achieve world-class quality and efficiency.

What We Need To See:

  • BSEE (or equivalent experience) with 5+ years, MSEE with 3+ years, or PhD in DFT or related domains.

  • Demonstrated knowledge and expertise in defining scan test plans, BIST including memories and IOs, fault modeling, ATPG, and fault simulation.

  • Excellent analytical skills in verification and validation of test patterns and logic on complex and multi-million gate builds using vendor tools.

  • Experience in silicon debug and bring-up with an understanding of pattern formats, failure processing, and test program development.

  • Strong programming and scripting skills.

  • Excellent written and oral communication skills with the curiosity to work on rare challenges.

Ways To Stand Out From The Crowd:

  • Deep understanding of DFT architecture.

  • Direct bring-up experience on GPU/SoC. Hands-on validation skills with oscilloscopes, logic analyzers, and lab debugging.

  • Understanding of fault models, DPPM, quality metrics, RAS is a plus.

  • Knowledge of InSystem Test methodologies, PVT dependencies and VF characterization.

  • Established proficiency in operating within collaborative, multi-functional environments.

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.

Applications for this job will be accepted at least until July 17, 2026.

This posting is for an existing vacancy. 

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering an inclusive 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

  • BSEE (5+ years) or MSEE (3+ years) or PhD in DFT or related domain
  • Defined scan test plans, scan compression, and test access mechanisms
  • BIST design and validation including memory and IO BIST
  • Fault modeling, ATPG, and fault simulation expertise
  • Verification and validation of test patterns and logic on multi-million gate designs using vendor tools
  • Silicon debug and bring-up experience; understanding of pattern formats, failure processing, and test program development
  • Strong programming and scripting skills
  • Excellent written and oral communication skills
  • Deep understanding of DFT architecture
  • Direct GPU/SoC bring-up experience and hands-on lab debugging with oscilloscopes and logic analyzers
  • Understanding of DPPM, quality metrics, RAS and fault models
  • Knowledge of InSystem Test methodologies, PVT dependencies, and VF characterization
  • Proven ability to work in collaborative, multi-functional teams

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.

  • 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.
  • 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.
  • 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.

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The Company
HQ: Santa Clara, CA
21,960 Employees
Year Founded: 1993

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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