Chip Design Verification 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, Networking, TechnologyIndustries

Requirements

B.SC./M.SC. in Computer Engineering/Electrical Engineering/Communication Engineering with high scores, or equivalent experience
2+ years of validated experience in ASIC Verification and/or RTL (Chip Design)
High level of English
A team player with good communication and interpersonal skills
Ways to stand out
Background in Specman
Knowledge in HDL (Verilog/VHDL)
Experience in Mixed Signals, Analog, and Behavioral Models for Verification

Responsibilities

Take a crucial part in developing NVIDIA's next-generation chip controller
Design and verification with challenging multi-discipline context
Take part in the development of all NVIDIA's networking and GPU networking chips and systems

Skills

Key technologies and capabilities for this role

ASIC VerificationRTLSpecmanHDLVerilogVHDLMixed SignalsAnalog ModelsBehavioral Models

Questions & Answers

Common questions about this position

What education and experience are required for the Chip Design Verification Engineer role?

A B.SC./M.SC. in Computer Engineering, Electrical Engineering, or Communication Engineering with high scores (or equivalent) and 2+ years of validated experience in ASIC Verification and/or RTL (Chip Design) are required. High level of English and being a team player with good communication and interpersonal skills are also needed.

What skills will help me stand out for this position?

Background in Specman, knowledge in HDL (Verilog/VHDL), and experience in Mixed Signals, Analog, and Behavioral Models for Verification are ways to stand out.

What is the salary or compensation for this role?

This information is not specified in the job description.

Is this position remote or does it require office work?

This information is not specified in the job description.

What kind of work environment and culture can I expect at NVIDIA?

You'll work in a meaningful, growing, and highly professional environment with forward-thinking and hardworking people, as part of the best chip design team in the industry.

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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