Senior DFT Methodology Engineer at NVIDIA

Santa Clara, California, United States

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Semiconductor, TechnologyIndustries

Requirements

BSEE (or equivalent experience) with 5+ years, MSEE with 3+ years, or PhD with 2+ years of experience in DFT, system architecture, or RTL design
Understanding of fundamental DFT topics, such as fault modeling, ATPG, and fault simulation (Tessent ATPG/SSN experience is a plus)
Experience in Silicon debug and bring-up on the ATE or SLT platforms, post silicon validation and characterization
Excellent understanding of MBIST and IOBIST fundamentals
Experience in architecting DFT access mechanisms in 3D stacked and dielet/chiplet based designs, and UCIe protocol
Good understanding of RTL coding principles
Knowledge of high-speed interface architectures such as PCIe, USB3, DDR (a plus)
Excellent analytical skills in verification and validation of logic on complex and multi-million gate designs using vendor tools
Good exposure to multi-functional areas including RTL & clocks design, STA, place-n-route, and power
Strong programming and scripting skills in Perl, Python, or Tcl (desired)
Outstanding written and oral communication skills with the curiosity to work on rare challenges

Responsibilities

Work on next generation test architectures
Work with multi-functional teams, implementing brand-new designs in test access mechanisms, high-speed test interfaces, and in-system test architecture
Help develop and deploy In-System Test (IST) methodologies for next generation products for scan architecture, ATPG, MBIST, and IOBIST applications
Help mentor junior engineers on test designs and trade-offs including cost and quality

Skills

DFT

ATPG

MBIST

IOBIST

Tessent

Silicon Debug

ATE

SLT

UCIe

RTL Design

Scan Architecture

Fault Simulation

Fault Modeling

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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