We are now looking for a Senior ASIC Design Engineer - DFX!
NVIDIA has continuously reinvented itself over two decades. Our 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. NVIDIA is a “learning machine” that constantly evolves by adapting to new opportunities that are hard to solve, that only we can tackle, and that matter to the world. This is our life’s work, to amplify human imagination and intelligence. Make the choice to join us today. Design-for-Test Engineering 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 complex semiconductor chips.
What You’ll Be Doing:
As a key member of our DFX Methodology Team, you will play a critical role in shaping the architecture, design, implementation, and verification of DFT IPs for our next-generation SoC products. You’ll help drive innovation across the full silicon lifecycle—from pre-silicon to post-silicon—while mentoring and collaborating with cross-functional teams.
Your key responsibilities would include:
Own the architecture and design of fuse controller and other DFT IPs for cutting-edge SoC designs.
Develop, deploy, and enhance DFT methodologies for scalability and future product needs.
Define and align feature sets by working closely with architects, platform, and software teams.
Partner with design, verification, synthesis, timing, and backend teams to ensure cohesive integration.
Create and execute test plans to support both functional and DFT full-chip verification.
Support post-silicon bring-up and validation efforts including debug and issue resolution.
Mentor junior engineers on test design strategies and trade-offs related to cost, quality, and performance.
What we need to see:
Bachelors degree (or equivalent experience) with 8+ years of experience, or Master’s degree in Electrical Engineering or related field with 6+ years experience.
5+ years of hands-on experience in SoC architecture, RTL design, and verification.
Strong proficiency in micro-architecture and RTL development using Verilog. (UVM experience is a plus.)
Deep expertise in DFT design, methodology, and implementation.
Familiarity with related domains such as clocking, STA, place & route, and power optimization.
Experience in post-silicon bring-up on ATE, including understanding of pattern formats, test program development, and failure analysis.
Proficiency in scripting languages such as Python, Perl, or Tcl.
Excellent communication skills and a collaborative mindset—with a curiosity and passion for solving complex technical challenges.
Why Join Us? This is an opportunity to apply your DFT and SoC architecture expertise to some of the industry’s most complex and impactful semiconductor designs. At NVIDIA, your ideas will help shape energy-efficient compute platforms used by scientists, engineers, creators, and gamers around the world. You’ll grow alongside world-class engineering teams in a collaborative, fast-paced environment that values innovation, excellence, determination, and teamwork. We offer competitive compensation, comprehensive benefits, and meaningful opportunities to advance your career.
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 168,000 USD - 264,500 USD for Level 4, and 196,000 USD - 310,500 USD for Level 5.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 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
- Bachelor's degree with 8+ years experience, or Master's degree with 6+ years experience
- 5+ years hands-on experience in SoC architecture, RTL design, and verification
- Proficiency in micro-architecture and RTL development using Verilog
- UVM experience
- Deep expertise in DFT design, methodology, and implementation
- Familiarity with clocking, STA, place & route, and power optimization
- Experience in post-silicon bring-up on ATE, including pattern formats, test program development, and failure analysis
- Proficiency in scripting languages such as Python, Perl, or Tcl
- Excellent communication skills and collaborative mindset
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.”
