Chip Design Verification and Emulation Engineer

Reposted Yesterday
Be an Early Applicant
2 Locations
In-Office
Junior
Artificial Intelligence • Computer Vision • Hardware • Robotics • Metaverse
The Role
As a Design Verification Engineer, you will work on chip verification and emulation for NVIDIA's silicon GPU projects, ensuring product quality under specifications.
Summary Generated by Built In

We are now looking for a best-in-class Verification Engineer to join our outstanding GPU-Networking Silicon Engineering team. As a DV Engineer at NVIDIA's GPU-Networking group, you'll make a real impact in a dynamic, technology-focused company while being a part of the team that develops the flagship product of todays’ semiconductor industry – NVIDIA’s GPU Super-Chip. 

What you’ll be doing:

  • Work in a DV (Design Verification) team that has a global responsibility over  deliverable units and clusters to the silicon GPU

  • Integrations and Full-Chip models

  • Verification of chip blocks/entities according to specifications under challenging constraints

  • Ramp-up and run DV tasks on emulation platform

What we need to see:

  • 1+ years of experience in RTL design, verification or emulation.

  • B.Sc. in Electrical Engineering or Computer Engineering with high grades.

  • A team player with good communication and interpersonal skills. 

Ways to stand out from the crowd:

  • Background in Specman and System-Verilog UVM

  • Experience in emulation platforms (Palladium) 

  • Knowledge in Networking

NVIDIA has some of the most forward-thinking and hardworking people in the world working for us. Are you a creative and autonomous engineer who loves a challenge? Come join our team and help us build the future HPC and data centers. NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer.

Top Skills

Palladium
Rtl
Specman
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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