Chip Design Verification Engineer at NVIDIA

Tel Aviv-Yafo, TA, Israel

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Not SpecifiedCompensation

Mid-level (3 to 4 years)Experience Level

Full TimeJob Type

UnknownVisa

Semiconductors, NetworkingIndustries

Requirements

Electrical Engineering B.Sc., Computer Engineering or other relevant engineering department graduate with high scores, or equivalent experience
Completion of programming and logic design courses with high scores
3-5 years of experience in RTL verification
A team player with good communication and interpersonal skills

Responsibilities

Work in a design and verification team that develops the front-end design for the Switch silicon and the GPU
Develop verification components and reference models, as well as verify and simulate chip blocks according to specifications under challenging constraints with a high orientation to power, area, and performance
Work closely with multiple teams within organizations such as Architecture, Micro-Architecture and FW

Skills

Key technologies and capabilities for this role

RTL VerificationVerification ComponentsReference ModelsChip SimulationFront-End DesignLogic DesignProgramming

Questions & Answers

Common questions about this position

What education is required for the Chip Design Verification Engineer role?

A B.Sc. in Electrical Engineering, Computer Engineering, or other relevant engineering field with high scores, or equivalent experience is required. Completion of programming and logic design courses with high scores is also needed.

What experience is needed for this position?

3-5 years of experience in RTL verification is required.

What soft skills are important for this role?

A team player with good communication and interpersonal skills is required.

What is the company culture like at NVIDIA for this team?

NVIDIA has forward-thinking and hardworking people, and they seek creative and autonomous individuals who love challenges in crafting high-performance, low-power silicon. You'll work in a dynamic, technology-focused company with passionate engineers.

What makes a strong candidate for this Chip Design Verification Engineer position?

Strong candidates have high academic scores in relevant engineering fields, 3-5 years of RTL verification experience, are team players with excellent communication skills, and are creative, autonomous, and passionate about high-performance silicon design.

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

This information is not specified in the job description.

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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