Senior ASIC Timing Engineer, DFT

Posted 3 Days Ago
Be an Early Applicant
Santa Clara, CA, USA
In-Office
136K-265K Annually
Senior level
Artificial Intelligence • Computer Vision • Hardware • Robotics • Metaverse
The Role
Lead timing analysis and closure for DFT logic across NVIDIA chips at block/cluster/full-chip levels. Develop timing constraints and closure strategies, drive timing/power convergence, implement ECOs, and improve workflows via automation and standardization while collaborating with PD, DFX, Clocks, and other teams.
Summary Generated by Built In

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.

NVIDIA is a “learning machine” that constantly evolves by adapting to new opportunities which are hard to solve, that only we can pursue, and that matter to the world. This is our life’s work, to amplify human inventiveness and intelligence. Our team has some of the most forward-thinking and hardworking people in the world. We are now looking for a motivated DFT-Timing Engineer to join our dynamic and growing team. If you want to challenge yourself and be a part of something great, join us today!

What you'll be doing:

  • Drive timing analysis and closure for DFT logic on all Nvidia chips (GPUs/CPUs/DPUs/LPUs/SoCs) at all hierarchical levels (block/cluster/full-chip).

  • Work with PD, DFX, Clocks and other teams to come up with timing closure strategy, develop timing constraints for custom DFT designs, drive timing and power convergence, and implement ECOs.

  • Continuously improve workflows and designs by introducing more automation, resilience, and standardization.

What we need to see:

  • BS (or equivalent experience) in Electrical or Computer Engineering with 5+ years’ experience or MS (or equivalent experience) with 2+ years’ experience.

  • Hands-on experience in Static Timing Analysis (STA) and driving timing convergence at full-chip/sub-chip level in advanced technology nodes.

  • Expertise in analysis and fixing of timing paths through ECOs.

  • Expertise in developing timing constraints.

  • In-depth knowledge of industry standard timing convergence tools.

Ways to stand out from the crowd:

  • Understanding of DFT logic and experience with DFT timing closure for various modes e.g., scan, iJTAG, etc.

  • Background in domain specific STA and timing convergence, such as Serdes, Processor, IO, SMVA, etc.

  • Experience in methodology and/or workflow development.

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 forward-thinking and hardworking people in the world working for us. If you're creative and autonomous, we want to hear from you.

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 19, 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

  • BS in Electrical or Computer Engineering with 5+ years' experience, or MS with 2+ years' experience
  • Hands-on experience in Static Timing Analysis (STA) and driving timing convergence at full-chip/sub-chip level in advanced technology nodes
  • Expertise in analysis and fixing of timing paths through ECOs
  • Expertise in developing timing constraints
  • In-depth knowledge of industry standard timing convergence tools
  • Understanding of DFT logic and experience with DFT timing closure for modes such as scan and iJTAG
  • Background in domain-specific STA and timing convergence (e.g., SerDes, Processor, IO, SMVA)
  • Experience in methodology and/or workflow development

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.

NVIDIA Insights

Am I A Good Fit?
beta
Get Personalized Job Insights.
Our AI-powered fit analysis compares your resume with a job listing so you know if your skills & experience align.

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.”

Similar Jobs

PagerDuty Logo PagerDuty

Customer Success Manager

Artificial Intelligence • Cloud • Information Technology • Machine Learning • Software • Big Data Analytics • Automation
Easy Apply
Remote or Hybrid
Los Angeles, CA, USA
1200 Employees
125K-172K Annually

ServiceNow Logo ServiceNow

Staff AI Agent Engineer – Moveworks | Customer Deployment

Artificial Intelligence • Cloud • HR Tech • Information Technology • Productivity • Software • Automation
Remote or Hybrid
San Francisco, CA, USA
29000 Employees
167K-291K Annually

ServiceNow Logo ServiceNow

Senior AI Agent Engineer – Moveworks

Artificial Intelligence • Cloud • HR Tech • Information Technology • Productivity • Software • Automation
Remote or Hybrid
San Francisco, CA, USA
29000 Employees
143K-243K Annually

Collectors Logo Collectors

Analytics Manager

Consumer Web • eCommerce • Machine Learning • Software • Sports • Analytics
In-Office or Remote
2 Locations
2246 Employees
140K-225K Annually

Similar Companies Hiring

Legora Thumbnail
Artificial Intelligence • Legal Tech • Software
Chicago, Illinois
700 Employees
Hanover Park Thumbnail
Artificial Intelligence • Fintech • Software • Financial Services
New York, New York
42 Employees
Onshore Thumbnail
Artificial Intelligence • Fintech • Software • Financial Services
New York, New York
60 Employees

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account