Senior ASIC Design Verification Engineer - LPU

Reposted 9 Days Ago
Be an Early Applicant
Hiring Remotely in Canada
Remote
155K-245K Annually
Senior level
Artificial Intelligence • Computer Vision • Hardware • Robotics • Metaverse
The Role
You will verify ASIC design implementation, develop verification infrastructure, optimize verification flows, and collaborate with teams on advanced methodologies.
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 seeking best-in-class ASIC Verification Engineers to verify the design and implementation of the world’s leading inference accelerator. This position offers the opportunity to have real impact in a dynamic, technology-focused company impacting product lines ranging from consumer graphics to self-driving cars and the growing field of artificial intelligence. We have crafted a team of outstanding people around the globe. Their mission is to push the frontiers of what is possible today and define the platform for the future of computing. In this position, you will help to build the high-performance processor elements that implement programmable compute and graphics functionality.

What you'll be doing:

  • As a key member of our ASIC Verification team, you will verify the design and implementation of inference accelerator

  • You will be responsible for verification of the ASIC design, architecture, reference models and micro-architecture using advanced verification methodologies

  • Understand the design and implementation of your unit, define the verification scope, develop the verification infrastructure and verify the correctness of the design

  • Collaborate with architects, designers, and pre and post silicon verification teams to accomplish your tasks

  • Implement and optimize automated verification flows to improve productivity and efficiency

  • Stay updated on the latest trends and advancements in ASIC design verification and incorporate innovative techniques into the verification process

What we need to see:

  • Bachelors Degree in EE, CS or CE (or equivalent experience) and 8+ years of relevant industry experience

  • Background with building block and SoC level testbench utilizing strong debugging and analytical skills

  • Experience in verification using random stimulus along with functional coverage, assertion-based verification methodologies and tools

  • Expertise in SystemVerilog and Universal Verification Methodology (UVM)

  • Experience with design and verification tools (VCS, Verdi or equivalent)

  • Experience in UPF power verification is a plus

  • Experience in netlist and DFT verification is a plus

  • Perl/Python and C/C++ programming language experience desirable

  • Knowledge of ASIC design flow, from specification to GDS

  • Knowledge of applying machine learning to ASIC verification flow

With competitive salaries and a generous benefits package, NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most brilliant people in the world working for us and, due to unprecedented growth, our teams are rapidly growing. Are you passionate about becoming a part of a best-in-class team supporting the latest in GPU and AI technology? If so, 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 155,000 CAD - 205,000 CAD for Level 4, and 195,000 CAD - 245,000 CAD for Level 5.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until May 8, 2026.

This posting is for an existing vacancy. 

NVIDIA uses AI tools in its recruiting processes.

Skills Required

  • Bachelors Degree in EE, CS or CE
  • 8+ years of relevant industry experience
  • Experience in verification using random stimulus and functional coverage
  • Expertise in SystemVerilog and UVM
  • Experience with design and verification tools such as VCS or Verdi

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

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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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