Senior DFX 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 4+ years experience, or MSEE (or PhD) with 2+ years of proven experience in DFT or related domains
Proven knowledge and expertise in defining scan test plans, BIST including memories and IOs, fault modeling, ATPG and fault simulation
Excellent analytical skills in verification and validation of test patterns and logic on complex and multi-million gate designs using vendor tools
Good exposure to cross functional areas including RTL & clocks design, STA, place-n-route and power, to ensure right trade-offs
Experience in Silicon debug and bring-up on the ATE with understanding of pattern formats, failure processing, and test program development
Strong programming and scripting skills in Perl, Python or Tcl desired
Exceptional written and oral interpersonal skills with the curiosity to work on rare challenges

Responsibilities

Own and work with cross functional teams, implementing state-of-the-art designs in test access mechanisms, I1149.1, I1500, I1687, IO BIST, memory BIST and scan compression
Help develop and deploy DFT methodologies for next generation products
Help mentor junior engineers on test designs and trade-offs including cost and quality

Skills

Key technologies and capabilities for this role

DFTI1149.1I1500I1687IO BISTMemory BISTScan CompressionATPGFault SimulationFault ModelingSilicon DebugATERTLSTAPlace-and-Route

Questions & Answers

Common questions about this position

What is the salary range for this Senior DFX Methodology Engineer position?

The base salary range is 136,000 USD - 212,750 USD for Level 3, and 168,000 USD - 264,500 USD for Level 4, determined based on location, experience, and pay of employees in similar positions.

What benefits are offered for this role?

You will be eligible for equity and benefits.

Is this position remote or does it require office work?

This information is not specified in the job description.

What skills and experience are required for this Senior DFT Engineer role?

Required qualifications include BSEE (or equivalent) with 4+ years or MSEE/PhD with 2+ years in DFT, proven expertise in scan test plans, BIST for memories and IOs, ATPG, fault simulation, analytical skills in verification using vendor tools, exposure to RTL design, STA, place-n-route, power, silicon debug on ATE, and strong programming in Perl, Python or Tcl.

What does NVIDIA look for in strong candidates for this position?

NVIDIA seeks creative and autonomous individuals with exceptional written and oral interpersonal skills and curiosity to work on rare challenges, along with the technical expertise in DFT.

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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