Senior ASIC Verification Engineer

Posted 7 Hours Ago
Be an Early Applicant
Santa Clara, CA
Senior level
Artificial Intelligence • Hardware • Robotics • Software • Metaverse
The Role
As a Senior ASIC Verification Engineer at NVIDIA, you will verify the design and architecture of SoCs and GPUs by driving the development of verification infrastructure and strategies. You will collaborate with ASIC designers, define the verification scope, and ensure high-quality delivery of the silicon products.
Summary Generated by Built In

NVIDIA is seeking an outstanding Senior ASIC Verification Engineer to verify the design and implementation of the world’s leading SoC's and GPU's. This position offers the opportunity to have a 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 extraordinary people stretching around the globe, whose mission is to push the frontiers of what is possible today and define the platform for the future of computing.

What you’ll be doing:

  • As a Senior Verification Engineer at NVIDIA, you will be responsible for verifying the design, architecture and micro-architecture using advanced verification methodologies

  • Defining verification scope and driving the development of verification infrastructure, DV strategies and test-planning for memory subsystem units

  • Collaborate with ASIC designers and architects in deriving feature and micro-architecture specifications

What we need to see:

  • You have a Bachelors or Masters Degree in Electrical Engineering or Computer Science or Computer Engineering (or equivalent experience)

  • 5+ years of relevant work experience

  • Knowledgeable in verification using random stimulus along with functional coverage and assertion-based verification methodologies

  • Experience developing scalable code using Object Oriented Programming principles.

  • Proficient in verification of design IP with SystemVerilog, advanced methodologies (such as UVM), and design and verification tools (such as VCS or equivalent simulation tools)

  • Passionate about delivering bug-free first silicon

Ways to stand out from the crowd:

  • Prior verification experience related to memory subsystem is a huge plus

  • Familiarity with memory subsystem concepts such as memory consistency models, arbitration policies, encryption algorithm, high-speed IO protocols and/or on-chip interconnect

  • Strong interpersonal skills

NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and talented people in the world working for us. Are you creative and autonomous? Do you love the challenge of crafting the highest performance & lowest power silicon possible? If so, we want to hear from you. Come, join our GPU ASIC team and help build the real-time, cost-effective computing platform driving our success in this exciting and quickly growing field.

The base salary range is 128,000 USD - 258,750 USD. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions.

You will also be eligible for equity and benefits. NVIDIA accepts applications on an ongoing basis.

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

Systemverilog
Uvm
The Company
HQ: Santa Clara, CA
21,960 Employees
On-site Workplace
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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