ASIC Verification Engineer

Posted 9 Days Ago
Be an Early Applicant
Austin, TX
Junior
Artificial Intelligence • Hardware • Robotics • Software • Metaverse
The Role
As an ASIC Verification Engineer, you will verify the design and implementation of SoC's and GPU's, focusing on advanced verification methodologies and firmware code verification. You will work collaboratively with architects and engineers, contributing to the verification infrastructure and ensuring functional coverage.
Summary Generated by Built In

NVIDIA is seeking an outstanding 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 Verification Engineer at NVIDIA, you will be responsible for verifying the design, architecture and micro-architecture using advanced verification methodologies

  • Define the verification scope, and contribute to the development of the verification infrastructure for memory subsystem units

  • Verify firmware code, with specific attention on verifying hardware/firmware interactions

  • Collaborate with architects, designers, software engineers across sites to accomplish your goals

What we need to see:

  • Bachelors or Masters in Computer Science, Computer Engineering, Electrical Engineering or closely related degree (or equivalent experience)

  • 2+ years of experience

  • Experience with verification methodology, creating reusable verification components

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

  • Fluency in Object Oriented Programming with SystemVerilog

  • Exposure to design and verification tools (VCS or equivalent simulation tools, debug tools like Debussy, GDB), and methodologies (UVM or equivalent)

  • Your work displays a passion for debugging and strong problem solving skills

  • Strong communication skills are required

Ways to stand out from the crowd:

  • Prior verification experience related to high speed IO protocols, or memory coherence is a big plus

  • Experience debugging embedded firmware code (C or RISCV Assembly)

  • Knowledgeable in embedded microcontrollers and/or RISCV Architecture

  • Experience writing verification plans

  • Strong verification mindset and intuition

NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most brilliant and talented people in the world working with 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 108,000 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

C
Riscv
Systemverilog
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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