Senior Failure Analysis 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

Master's degree or higher in Electrical Engineering, Microelectronics, Physics, or a related field (or equivalent experience)
Minimum of 12 years of experience in FA, preferably with hands-on experience in technique enablement and development of supporting HW for Fault-Isolation
Knowledge of failure analysis techniques and methodologies
Basic understanding of scan-chain based test (DFT) and some experience in operation of Automated Test Equipment (preferably on Advantest 93k and/or Teradyne UFP)
Strong understanding of semiconductor device physics, IC design, and fabrication processes
Experience with EDA (Electronic Design Automation) tools and layout editing software
Strong problem-solving skills with the ability to diagnose and resolve complex circuit issues

Responsibilities

Lead the enablement of XADA and existing NIR and Thermal OFI tools for future technology nodes based on experimentation with different test-chips and existing products
Understand optical FI workflow and work with PFA team to guide sample-preparation development
Develop workflows, train users, and collaborate with XADA tool vendors to drive SW & HW improvements and new feature development
Work with NVIDIA internal HW designers and external vendors regarding development of suitable test- and cooling-HW
Play a leading role in developing Chip-Debug and Fault-Isolation via Optical-Fault-Isolation and emerging techniques like scanning-focused-X-ray (XADA), including experimentation, guiding development of custom supporting HW, workflow development, and training of other users

Skills

Failure Analysis

Optical Fault Isolation

XADA

NIR

Thermal OFI

Chip Debug

Fault Isolation

Hardware Development

Workflow Development

Sample Preparation

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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