NVIDIA

NVIDIA

Posted via Workday

Senior ASIC Timing Engineer, DFT

Posted Aug 5, 2026

Role at a glance

Salary
$136K – $264.5K/yr
Location
Santa Clara, California, United States
Work arrangement
On-site
Employment
Full-time
Experience
BS (or equivalent experience) in Electrical or Computer Engineering with 5+ years’ experience or MS (or equivalent experience) with 2+...
Education
BS (or equivalent experience) in Electrical or Computer Engineering

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Role Summary

AI-generated

The DFT-Timing Engineer will drive timing analysis and closure for DFT logic across NVIDIA GPUs, CPUs, DPUs, LPUs, and SoCs at block, cluster, and full-chip levels. The role collaborates with PD, DFX, Clocks, and other teams to improve timing, power, automation, resilience, and standardization.

What You'll Do

  • Drive timing analysis and closure for DFT logic across hierarchical levels.
  • Develop timing constraints for custom DFT designs.
  • Work with PD, DFX, Clocks, and other teams on timing closure strategy.
  • Drive timing and power convergence and implement ECOs.
  • Improve workflows and designs through automation, resilience, and standardization.

Generated from the employer's posting. Verify important details before applying.

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Qualifications

Electrical or Computer Engineering BS 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, developing timing constraints, and industry standard timing convergence tools.

Required

  • Electrical or Computer Engineering BS or MS, or equivalent experience
  • Hands-on experience in Static Timing Analysis (STA)
  • Experience 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

Preferred

  • 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

Original job description

Content provided by the employer

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 August 15, 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.

NVIDIA

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.