Senior ASIC Verification Engineer

Reposted 5 Days Ago
Be an Early Applicant
3 Locations
In-Office or Remote
136K-265K
Senior level
Artificial Intelligence • Computer Vision • Hardware • Robotics • Metaverse
The Role
The role involves validating clock structures in Tegra and GPU products, developing test plans, and coordinating with teams on design verification.
Summary Generated by Built In

The NVIDIA Clocks Team is looking for an excellent Senior ASIC Verification engineer with extensive experience in Design Verification. The NVIDIA Clocks Team is committed to deliver high-quality clocking and reset logic to various units in SOC and GPU ASIC. The complexity of the clocks and resets design has increased many folds. This requires sophisticated verification to deliver a bug free clocks design to power our product lines ranging from Data Centers, Consumer graphics to Self-driving cars and the growing field of artificial intelligence. Modern clocking verification solutions need to be innovative, ensure quality in covering the complex design specifications and balance the constraints on infrastructure, re-usability, testing speed and multi-platform support.

What you'll be doing:

  • Own validation of Clocking structures in Tegra and GPU products from start to finish, including test plan development, automation, validation flows development, coverage metrics, test execution, bug identification/fix and productization.

  • Tackle Sophisticated problems and develop a scalable solution that works across platform.

  • Hands on industry-standard tools and state of the art verification methodologies. This includes coding in System Verilog, UVM, C++, Perl, Python and NVIDIA custom compilers and tools.

  • Partnering closely with our clocks architecture and design team to validate our clocks design.  

  • Coordinate with internal and external teams across time zones.

What we need to see:

  • BS or MS in EE/ECE or equivalent experience.

  • 5+ years of relevant industry work experience.

  • Good understanding of Logic Design and Architecture.

  • Expertise in industry-standard verification flows like SV constraint random verification, UVM, Formal Verification, Coverage metrics, profiling tools, X prop, etc.

  • Exposure on block level and system-level verification.

  • Strong coding skills in System Verilog, scripting languages (Perl/python) and C++.

  • Ability to collaborate and work with multiple groups.

  • Prior experience in implementing Test plans for pre-silicon platforms.

  • Understanding of DFT/IST is optional.

We have some of the most forward-thinking and hardworking people in the world working for us and, due to unprecedented growth, our world-class engineering teams are growing fast. If you are creative, curious, and motivated with real passion for technology, we want to hear from you!

#LI-Hybrid

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 - 212,750 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 29, 2025.NVIDIA is committed to fostering a diverse 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.

Top Skills

C++
Perl
Python
System Verilog
Uvm
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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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