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NVIDIA has continuously reinvented itself. Our invention of the GPU sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. Today, research in artificial intelligence is booming worldwide, which calls for highly scalable and massively parallel computation horsepower that NVIDIA GPUs excel. NVIDIA is a “learning machine” that constantly evolves by adapting to new opportunities that are hard to solve, that only we can address, and that matter to the world. This is our life’s work , to amplify human creativity and intelligence. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join our diverse team and see how you can make a lasting impact on the world!
Join NVIDIA, where we push the boundaries of what's possible! As a DFT Implementation Engineer, you will be part of a team that is at the forefront of innovation in AI and accelerated computing. This role offers you the chance to contribute to groundbreaking projects while collaborating with some highly skilled professionals in the industry. Based in Bangalore, Karnataka, you will play a crucial role in ensuring the flawless execution of our dynamic projects. If you're ambitious and passionate about making an impact, this is the perfect opportunity for you!
What you’ll be doing:
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Implement and integrate scan insertion and scan compression at gate/RTL level.
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Support Scan ATPG, pattern validation, and silicon bring-up of scan-related DFT features.
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Perform gate-level verification, debug DFT/scan issues, and support ECOs.
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Develop and improve DFX/DFT methodologies for next-generation designs.
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Work closely with CAD and external CAD venders in developing next DFX architectures in nvidia chips
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Collaborate with design, verification, and physical design teams to ensure DFX readiness.
What we need to see:
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BSEE/MSEE or equivalent experience.
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2+ years of experience in DFT/DFX implementation.
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Strong knowledge of ASIC design flow, static timing analysis, and ECO handling.
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Hands-on experience with gate-level simulation and verification.
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Solid understanding of Scan ATPG, scan compression, and memory test concepts.
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Familiarity with JTAG (IEEE 1149.1) and related DFT standards.
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Proficiency in HDL and scripting languages.
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Strong analytical, debugging, and communication skills.
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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.
News
·
NaNw ago
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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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.
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·
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
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NaNw ago