Role at a glance
- Salary
- $168K – $310.5K/yr
- Location
- Santa Clara, California, United States
- Work arrangement
- On-site
- Employment
- Full-time
- Experience
- 10+ years of hands-on experience in SoC architecture, RTL design, and verification.
- Education
- Master’s degree (or equivalent experience) in Electrical Engineering or related field
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Role Summary
The DFT Methodology Engineer develops design-for-test architecture, verification, and post-silicon validation solutions for complex semiconductor chips at NVIDIA. The role helps deliver DFT methodologies for next-generation products while collaborating with timing, physical design, software, bring-up, and production teams.
What You'll Do
- Implement test access mechanisms, I1149.1, I1500, I1687, 1838, memory BIST, scan and memory dump, and DFX security methodology.
- Architect, develop, and deploy DFT methodologies for next-generation products.
- Perform RTL design, verification, and pattern generation.
- Partner with timing, physical design, software, bring-up, and production teams.
- Mentor junior engineers on test designs and cost and quality trade-offs.
Generated from the employer's posting. Verify important details before applying.
View full postingQualifications
Master’s degree or equivalent experience in Electrical Engineering or a related field; proven experience in DFT or related domains; 10+ years of hands-on experience in SoC architecture, RTL design, and verification; analytical skills in verification and validation of test patterns and logic on complex, multi-million gate designs using vendor tools; exposure to RTL and clocks design, STA, place-n-route, and power; experience in silicon debug and bring-up on ATE, including pattern formats, failure processing, and test program development; written and oral interpersonal skills.
Required
- Master’s degree (or equivalent experience) in Electrical Engineering or related field
- Proven experience in DFT or related domains
- 10+ years of hands-on experience in SoC architecture, RTL design, and verification
- Verification and validation of test patterns and logic on complex and multi-million gate designs using vendor tools
- Exposure to RTL and clocks design, STA, place-n-route and power
- Silicon debug and bring-up on the ATE
- Understanding of pattern formats, failure processing, and test program development
- Exceptional written and oral interpersonal skills
Preferred
- Knowledge of DFT security and hardware system security
Original job description
Content provided by the employer
Original job description
Content provided by the employer
We are now looking for a DFT Methodology Engineer!
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 member in our team, you will own and work with cross functional teams, implementing state-of-the-art designs in test access mechanisms, I1149.1, I1500, I1687, 1838, memory BIST, scan and memory dump and DFX security methodology.
In addition, you will help architect, develop and deploy DFT methodologies for our next generation products including RTL design, Verification, pattern generation, partnering with teams like timing, physical design, software, bringup, production
You will also help mentor junior engineers on test designs and trade-offs including cost and quality.
What we need to see:
Master’s degree (or equivalent experience) in Electrical Engineering or related field with proven experience in DFT or related domains.
10+ years of hands-on experience in SoC architecture, RTL design, and verification.
Excellent analytical skills in verification and validation of test patterns and logic on complex and multi-million gate designs using vendor tools
Good exposure to cross functional areas including RTL & clocks design, STA, place-n-route and power, to ensure we are making the right trade-offs
Experience in Silicon debug and bring-up on the ATE with an understanding of pattern formats, failure processing, and test program development
Knowledge of DFT security and hardware system security is a plus.
Exceptional written and oral interpersonal skills with the curiosity to work on rare challenges
NVIDIA is widely considered to be the leader of AI computing, and 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. NVIDIA offers highly competitive salaries and a comprehensive benefits package.
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.About the company
NVIDIA
Large Enterprise
NVIDIA is a leading technology company renowned for its graphics processing units (GPUs) and innovative computing solutions that enhance visual experiences across multiple platforms, including gaming, scientific research, and artificial intelligence. Founded in 1993, the company has expanded its offerings to include powerful AI frameworks and deep learning platforms, making significant contributions to industries such as gaming, data centers, automotive, and healthcare. NVIDIA's commitment to pushing the boundaries of visual computing continues to drive advancements in both hardware and software, positioning the company at the forefront of emerging technologies and digital transformation.
NVIDIA is a leading technology company renowned for its graphics processing units (GPUs) and innovative computing solutions that enhance visual experiences across multiple platforms, including gaming, scientific research, and artificial intelligence. Founded in 1993, the company has expanded its offerings to include powerful AI frameworks and deep learning platforms, making significant contributions to industries such as gaming, data centers, automotive, and healthcare. NVIDIA's commitment to pushing the boundaries of visual computing continues to drive advancements in both hardware and software, positioning the company at the forefront of emerging technologies and digital transformation.