CAD Engineer at NVIDIA

Santa Clara, California, United States

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Not SpecifiedCompensation

Junior (1 to 2 years), Mid-level (3 to 4 years)Experience Level

Full TimeJob Type

UnknownVisa

Semiconductor, TechnologyIndustries

Requirements

B.S. in Electrical Engineering (or equivalent experience); MS preferred
2+ years of work experience
Basic understanding of MOSFET device behavior, CMOS layout, and VLSI design
Understanding of version control software, preferably Perforce
Understanding of regression testing methodology
Excellent programming skills; experience with Perl, Python, and other scripting languages
Great interpersonal skills
Passionate about providing excellent support for end-users
Solid EE or CS background with understanding of circuits, layouts, and VLSI design
Strong background in Python and Perl

Responsibilities

Install, configure, and support foundry techfiles
Support and maintain CAD tools used by IC designers (standard off-the-shelf EDA tools)
Create and set up a regression environment to test various decks before release to designers
Identify and document changes between different versions of decks received from foundries
Document customizations done to decks and communicate changes to the design community
Work with CAD tool vendors to identify and resolve bugs, improve tool usability, and evaluate new tools and features
Develop infrastructure to support design work in new process technologies
Write scripts using Perl, Cadence SKILL, and Python
Provide expert support to designers in debugging tool, techfile, and design errors
Develop flows and scripts to improve productivity of custom circuit designers

Skills

Python

Perl

Cadence SKILL

Perforce

EDA tools

VLSI design

CMOS layout

regression testing

MOSFET

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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