We are looking for a talented, fast learner, and highly motivated Chip Design – Verification Engineer. As a member of our Chip Design Team, you will be responsible for verifying portions of the design, of a high performance and low power chip, focusing on such tasks as micro-architectural understanding, Verification environment coding and logic debug. This position offers you the opportunity to have real impact in a dynamic, technology-focused company impacting product lines roadmap. We have crafted a team of extraordinary people, 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 member of our Chip Design team, you'll own and be responsible for crafting and timely delivery of a verification components and quality of Chip Design related logic. Day to day tasks include:
Understand and analyze uArch definitions.
Implement verification components to verify RTL meets specifications.
Collaborate with our RTL, Arch and uArch teams.
Work on logic related to switch design.
What we need to see:
A Bachelor’s Degree in Electrical Engineering, Computer Engineering or Computer Science, or equivalent experience.
5+ years of hardware description language expertise and verification background required
Strong communication and interpersonal skills are required along with the work in a dynamic environment.
A strong background in computer communication is highly desirable.
Ways to stand out from the crowd:
Experience with computer communication/networking
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 fastest and most power efficient chips in their class? If so, come join our Chip Design team, we want to hear from you!
Top Skills
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.”
