Jobs
Required Skills
DFT
ATPG
RTL verification
Gate-level verification
Python
Perl
Tcl
Make
NVIDIA has continuously reinvented itself over two decades. Our 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. NVIDIA is a “learning machine” that constantly evolves by adapting to new opportunities that are hard to solve, that only we can tackle, and that matter to the world. This is our life’s work , to amplify human imagination and intelligence. Make the choice to join us today.
What will you be doing:
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Participate in ground breaking Processor design and debug in deep submicron technologies.
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Work in a multi functional team passionate about Silicon characterization and correlation to pre-Silicon Performance and Power models.
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Responsible for generating ATPG patterns for Silicon speed path debug.
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RTL and gate level verification for ATPG, non-ATPG patterns.
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Correlating diagnosis result to map to real design failures. Root cause the same feed learnings to pre-silicon design sign off parameters.
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RAM correlation by studying RAM circuit failure mechanisms and understanding their limits on silicon
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Bring in more circuit understanding into the RAM testing methods across RAM types, chips and processes and improve correlation in the long run
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Develop new methodologies using DFT infrastructure to analyze components of mis-correlation in logic and in/around RAM.
What we need to see:
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BSEE required/MS preferred in Electrical or Electronics Engineering with 3 years experience; Prior leadership experience a certain plus.
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Good understanding of Design-for-test(DFT) and logic design is required.
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Must possess a solid understanding of DFT including scan, BIST, on-chip scan compression, fault models, ATPG, and fault simulation.
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Must have some experience in bringing up RTL/gate level simulation, writing testcase and debugging it.
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Basics of circuits and RAM functionality/architecture will be helpful.
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Experience in VLSI simulation tools like VCS etc
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Experience with pattern generation using tools such as tessent.
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Proficiency in scripting language, such as, Python, Perl, Tcl, Make and automation methods/algorithms would be good.
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Prior experience in STA and basic understanding of circuit concepts will help in the role.
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Post-Silicon data gathering experience is a plus.
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. If you're creative, autonomous and love a challenge, 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
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.
News
·
NaNw ago
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.
News
·
NaNw ago
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.
News
·
NaNw ago
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.
News
·
NaNw ago