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The FBHUB (Frame Buffer HUB) Shanghai team focuses on memory subsystem IP design and verification, contributing to FBHUB RTL development, verification infrastructure, coverage analysis, and performance validation. We collaborate closely with the Santa Clara FBHUB team to drive quality assurance and accelerate project execution across multiple GPU roadmap milestones. Our work encompasses verification methodology development, regression management, and design validation, with a commitment to delivering robust memory interconnect solutions for next-generation GPU architectures.
What you’ll be doing:
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The responsibility includes verification on FBHUB end-to-end functionality, performance and power optimization, etc.
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Different verification methodologies are embraced (RTL based simulation and/or formal verification) to speed-up the working progress in a high efficiency way.
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Participate in the research of verification methodology to improve automation and productivity to produce NVIDIA's new high-quality state of the art products.
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Deploy the advanced verification methodology and infrastructure of the IP/SOC.
What we need to see:
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4+ years work experience
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Bachelor's (BS) or Master's (MS) degree in Electrical Engineering, Computer Engineering, or related fields.
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Familiar with verification methodology, tools, and flow.
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Programming skills in System Verilog, Python/Perl, and C/C++.
Ways to stand out from the crowd:
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Fully experienced verification flow: Know the typical milestones and the related verification action and release
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Ability to use proper metrics to present and monitor verification status
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Complex TB setup experience and skills below: SVA, functional coverage group, random constraint, etc.
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AI coding tools experience, such as Cursor.
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Good English communication skills.
NVIDIA is widely considered one of the technology world’s most desirable employers. We have some of the most brilliant and talented people working for us. If you're creative and autonomous, we want to hear from you!
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About NVIDIA

NVIDIA
PublicA computing platform company operating at the intersection of graphics, HPC, and AI.
10,001+
Employees
Santa Clara
Headquarters
$4.57T
Valuation
Reviews
4.1
10 reviews
Work Life Balance
3.5
Compensation
4.2
Culture
4.3
Career
4.5
Management
4.0
75%
Recommend to a Friend
Pros
Great culture and supportive environment
Smart colleagues and excellent people
Cutting-edge technology and learning opportunities
Cons
Team-dependent experience and outcomes
Work-life balance issues with long hours
Politics and influence over competence
Salary Ranges
47 data points
Junior/L3
Mid/L4
Junior/L3 · Analyst
7 reports
$170,275
total / year
Base
$130,981
Stock
-
Bonus
-
$155,480
$234,166
Interview Experience
7 interviews
Difficulty
3.1
/ 5
Experience
Positive 0%
Neutral 86%
Negative 14%
Interview Process
1
Application Review
2
Recruiter Screen
3
Online Assessment
4
Technical Interview
5
System Design Interview
6
Team Review
Common Questions
Coding/Algorithm
System Design
Technical Knowledge
Behavioral/STAR
News & Buzz
NVIDIA Culture Discussions
Team-dependent experience; sink-or-swim culture that rewards high performers but can be overwhelming. No politics, flat structure, but demanding workload with some teams requiring evening/weekend work.
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Negotiating NVIDIA's Offer
Base, stock, and sign-on negotiable. Recruiters invested in closing candidates. CEO reviews all 42K employee salaries monthly. Stock growth has made many employees millionaires.
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NVIDIA Company Reviews
WLB rated 3.9/5 (lowest category). 64% satisfied with WLB but 53% feel burnt out. Compensation rated 4.4-4.5/5. Experience highly team-dependent.
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NVIDIA Interview Discussions
Technical bar is high with 4-6 rounds. Process takes 4-8 weeks. Expect C++ questions, LeetCode medium, and system design. Difficulty rated 3.16/5.
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