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 3+ years of experience, MSEE (or PhD) with proven experience in DFT or related domains
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 making the right trade-offs
Experience in Silicon debug and bring-up on the ATE with an understanding of pattern formats, failure processing, and test program development
Knowledge of DFT security and hardware system security (plus)
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, 1838, IO BIST, memory BIST, scan and array dump and DFX security methodology
Help architect, 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

DFTI1149.1I1500I16871838IO BISTMemory BISTScanArray DumpDFXRTLSTAPlace and RouteSilicon DebugATETest Patterns

Questions & Answers

Common questions about this position

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

The base salary range is 136,000 USD - 212,750 USD, determined based on location, experience, and pay of employees in similar positions. You will also be eligible for equity and benefits.

Is this position remote or hybrid, and what are the location requirements?

This is a hybrid position, as indicated by the #LI-Hybrid tag.

What key skills and experience are required for this role?

Candidates need a BSEE or equivalent with 3+ years of experience (MSEE or PhD preferred) in DFT or related domains, excellent analytical skills in verification and validation of test patterns on complex designs, exposure to RTL, clocks, STA, place-n-route, power, and experience in silicon debug and ATE bring-up. Strong programming skills in Perl, Python, or Tcl, and exceptional interpersonal skills are also desired.

What is the work environment like at NVIDIA for this team?

The role involves working with cross-functional teams on groundbreaking DFT innovations for complex semiconductor chips, mentoring junior engineers, and tackling rare challenges in a diverse and evolving environment at the leader in AI computing.

What makes a strong candidate for this Senior DFX Methodology Engineer role?

Strong candidates are creative, autonomous individuals with proven DFT experience, analytical skills for complex designs, cross-functional exposure, silicon debug knowledge, and a curiosity for rare challenges. Knowledge of DFT security and strong scripting skills are a plus.

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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