Senior Test 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, Technology, AIIndustries

Requirements

Completion of bachelor's degree or higher in Electrical Engineering/Computer Engineering (or equivalent experience)
5+ years of relevant work experience in the semiconductor industry
Knowledge of silicon verification, testing and manufacturing
Knowledge in Advantest 93K ATE platform (essential)
Experienced with Linux, and programming languages such as C/C++/Java and/or Perl/Python
Good communication skills and works well in a group environment and with cross functional teams that spans across continents
Experience with SRAM testing and familiarity with 2.5D or MCM assembly
Understanding of DFT insertion techniques including SCAN, ATPG, MBIST and IOBIST
Knowledge of system level testing/validation (plus)
Utilizing the AI in ATE testing (plus and makes you standout)

Responsibilities

Define, develop, implement, and support ATE test program solutions for the next generation of GPUs and AI server products
ATE test method code development and debugging
Scripting and automation tools development and debugging
Actively participate in cross function team including Product Development Engineering, DFT, and IC design to efficiently debug any product failures and implement optimal solutions
Help transfer GPU gaming and compute products from design engineering to mass production
Work with overseas manufacturing teams to increase yields, test coverage and capacity, and reduce production costs

Skills

Key technologies and capabilities for this role

ATE Test ProgramAdvantest 93KLinuxScriptingAutomationSilicon VerificationDFTGPU TestingYield Improvement

Questions & Answers

Common questions about this position

What is the salary for this position?

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. NVIDIA offers competitive salaries and a generous benefits package.

What are the required qualifications and experience for this role?

A bachelor's degree or higher in Electrical Engineering/Computer Engineering (or equivalent), 5+ years of relevant work experience in the semiconductor industry, knowledge of silicon verification/testing/manufacturing, and experience with Advantest 93K ATE platform are required.

What key skills are needed for this Senior Test Methodology Engineer position?

Proficiency in Linux and programming languages such as C/C++/Java and/or Perl/Python, good communication skills, experience working with cross-functional teams across continents, and knowledge of DFT techniques like SCAN, ATPG, MBIST, and IOBIST are essential.

Is this a remote position or does it require office work?

This information is not specified in the job description.

What makes a candidate stand out for this role at NVIDIA?

Experience with SRAM testing, familiarity with 2.5D or MCM assembly, knowledge of system level testing/validation, and utilizing AI in ATE testing will make you stand out.

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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