Tools and Methodology Engineer, CAD DFT (RDSS Intern) at NVIDIA

Taipei, Taiwan

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Not SpecifiedCompensation

InternshipExperience Level

Full TimeJob Type

UnknownVisa

Technology, SemiconductorIndustries

Requirements

Master’s or Ph.D. degree in Electrical Engineering, Computer Engineering, or a related field
Strong analytical and problem-solving skills with the ability to successfully implement solutions
Excellent programming skills in Python, TCL, or Perl
Outstanding communication and teamwork abilities, with a passion for innovation and excellence
Ways to stand out
Familiar with Verilog
Understanding of overall VLSI design process, especially in Design For Test
Strong English communication
Experiences in CAD software developments

Responsibilities

Working together with interdisciplinary teams to create and deploy top-notch CAD tools and methodologies
Crafting and optimizing Design for Test (DFT) strategies to ensure flawless manufacturing and testing processes
Analyzing and debugging complex CAD and DFT issues, strictly determining root causes and implementing effective solutions
Offering technical mentorship and support to other engineering teams, encouraging an inclusive and collaborative environment
Persistently refining and upgrading our tools and methodologies to sustain our competitive edge in the industry

Skills

CAD

DFT

Design for Test

Debugging

Analytical Skills

Problem Solving

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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