VLSI CAD Engineer at NVIDIA

Tel Aviv-Yafo, TA, Israel

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Not SpecifiedCompensation

Junior (1 to 2 years)Experience Level

Full TimeJob Type

UnknownVisa

Semiconductor, Hardware DesignIndustries

Requirements

Bachelor’s degree in Computer Science, Engineering, or equivalent experience
Experience in CAD development for circuit analysis
Hands-on experience with SPICE simulations
2+ years of experience in VLSI Design Automation
Strong knowledge of Python programming

Responsibilities

Develop and maintain CAD solutions for both transistor-level and block-level circuit analysis
Conduct studies of circuit behavior at both STDCELL and block levels, informing tool development and design improvements
Work with NVIDIA quality teams on transistor-level analysis to enhance circuit reliability and performance
Work with other NVIDIA teams to identify, develop, and deploy advanced CAD solutions addressing design challenges
Engage directly with design projects, leveraging CAD tools to solve and improve complex circuit design challenges

Skills

Key technologies and capabilities for this role

VLSI CADSPICE simulationsPythoncircuit analysistransistor-level analysisSTDCELLblock-level analysis

Questions & Answers

Common questions about this position

What experience is required for the VLSI CAD Engineer role?

A Bachelor’s degree in Computer Science, Engineering, or equivalent experience is required, along with experience in CAD development for circuit analysis, hands-on experience with SPICE simulations, 2+ years in VLSI Design Automation, and strong knowledge of Python programming.

What are some ways to stand out as a candidate for this position?

Candidates can stand out with deep knowledge in the circuit domain, a proven track record of developing innovative CAD solutions, and understanding of STDCELL internal design and architecture.

What does the role involve in terms of collaboration?

The role involves collaborating with multiple teams across NVIDIA, including quality teams on transistor-level analysis and other teams to identify, develop, and deploy advanced CAD solutions.

What is the employment type for this position?

The position is full-time employment.

What is the salary or compensation for this role?

This information is not specified in the job description.

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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