DFT Verification Engineer at NVIDIA

Bengaluru, Karnataka, India

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Semiconductors, AI, Accelerated ComputingIndustries

Requirements

BSEE or MSEE from reputed institutions or equivalent experience with 2+ years of experience
Proficient in static timing analysis, ECO, ASIC/Logic Design Flow, HDL, and Digital logic design
Experience in RTL and Gates verification, simulation, and silicon bring-up
Familiar with BIST architecture and JTAG/IEEE1149.1/IEEE1500/IEEE1687
Strong DFT knowledge in Scan ATPG, compression techniques, and memory test
Strong analytical and problem-solving skills with good scripting knowledge (either Perl/Python)

Responsibilities

Take end-to-end ownership of DFX verification, pattern development, and silicon bring-up for a range of test features—including JTAG, boundary scan, security mechanisms, and test clocking—across various test modes, including multiple ATPG configurations
Work closely with various DFX teams, CAD, and methodology teams to improve the flows and processes
Help develop and deploy DFT methodologies for next-generation products
Be a part of innovation to strive to improve the quality of DFT methods
Work with multi-functional teams to incorporate DFT features into the chip

Skills

Key technologies and capabilities for this role

DFTDFXVerificationJTAGBoundary ScanATPGSilicon Bring-upTest ClockingSecurity MechanismsCAD

Questions & Answers

Common questions about this position

What is the location for this DFT Verification Engineer role?

The position is based in Bangalore, Karnataka, and operates under a hybrid work model.

What are the required qualifications and experience for this position?

Candidates need a BSEE or MSEE from reputed institutions or equivalent experience with 2+ years of experience.

What key technical skills are required for the Senior DFT Verification Engineer role?

Proficiency is required in static timing analysis, ECO, ASIC/Logic Design Flow, HDL, Digital logic design, RTL and Gates verification, simulation, silicon bring-up, BIST architecture, JTAG/IEEE1149.1/IEEE1500/IEEE1687, Scan ATPG, compression techniques, memory test, and scripting in Perl/Python.

What is the company culture like at NVIDIA for this team?

NVIDIA offers a diverse, supportive environment where everyone is inspired to do their best work, collaborating with highly skilled professionals on groundbreaking AI and accelerated computing projects.

What makes a strong candidate for this DFT Verification Engineer position?

A strong candidate will have 2+ years of experience, proficiency in key DFT and verification skills like Scan ATPG, JTAG, scripting, plus strong analytical and problem-solving abilities to take end-to-end ownership of verification tasks.

NVIDIA

Designs GPUs and AI computing solutions

About NVIDIA

NVIDIA designs and manufactures graphics processing units (GPUs) and system on a chip units (SoCs) for various markets, including gaming, professional visualization, data centers, and automotive. Their products include GPUs tailored for gaming and professional use, as well as platforms for artificial intelligence (AI) and high-performance computing (HPC) that cater to developers, data scientists, and IT administrators. NVIDIA generates revenue through the sale of hardware, software solutions, and cloud-based services, such as NVIDIA CloudXR and NGC, which enhance experiences in AI, machine learning, and computer vision. What sets NVIDIA apart from competitors is its strong focus on research and development, allowing it to maintain a leadership position in a competitive market. The company's goal is to drive innovation and provide advanced solutions that meet the needs of a diverse clientele, including gamers, researchers, and enterprises.

Santa Clara, CaliforniaHeadquarters

1993Year Founded

$19.5MTotal Funding

IPOCompany Stage

Automotive & Transportation, Enterprise Software, AI & Machine Learning, GamingIndustries

10,001+Employees

Benefits

Company Equity

401(k) Company Match

Risks

Increased competition from AI startups like xAI could challenge NVIDIA's market position.

Serve Robotics' expansion may divert resources from NVIDIA's core GPU and AI businesses.

Integration of VinBrain may pose challenges and distract from NVIDIA's primary operations.

Differentiation

NVIDIA leads in AI and HPC solutions with cutting-edge GPU technology.

The company excels in diverse markets, including gaming, data centers, and autonomous vehicles.

NVIDIA's cloud services, like CloudXR, offer scalable solutions for AI and machine learning.

Upsides

Acquisition of VinBrain enhances NVIDIA's AI capabilities in the healthcare sector.

Investment in Nebius Group boosts NVIDIA's AI infrastructure and cloud platform offerings.

Serve Robotics' expansion, backed by NVIDIA, highlights growth in autonomous delivery services.

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