Chip Design Verification Engineer at NVIDIA

Tel Aviv-Yafo, TA, Israel

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Not SpecifiedCompensation

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

Full TimeJob Type

UnknownVisa

Semiconductors, TechnologyIndustries

Requirements

Bachelor’s Degree in Electrical Engineering, Computer Engineering, or Computer Science, or equivalent experience
2+ years of hardware description language expertise and verification background
Strong communication and interpersonal skills
Ability to work in a dynamic environment
Strong background in computer communication (highly desirable)
Talented, fast learner, and highly motivated
Creative and autonomous

Responsibilities

Understand and analyze uArch definitions
Implement verification components to verify RTL meets specifications
Collaborate with RTL, Arch, and uArch teams
Work on logic related to switch design
Craft and timely delivery of verification components
Ensure quality of Chip Design related logic
Verify portions of the design for a high performance and low power chip, including micro-architectural understanding, verification environment coding, and logic debug

Skills

Key technologies and capabilities for this role

RTL VerificationSystemVerilogVerilogUVMMicroarchitectureLogic DebuguArchHDLSwitch DesignComputer Architecture

Questions & Answers

Common questions about this position

What qualifications are required for the Chip Design Verification Engineer role?

A Bachelor’s Degree in Electrical Engineering, Computer Engineering or Computer Science, or equivalent experience is required, along with 2+ years of hardware description language expertise and verification background.

What key skills are needed for this position?

Strong communication and interpersonal skills are required, along with the ability to work in a dynamic environment. A strong background in computer communication is highly desirable.

What does the company culture look like at NVIDIA for this team?

NVIDIA has a dynamic, technology-focused environment with a team of extraordinary, forward-thinking, and talented people pushing the frontiers of computing and crafting the fastest, most power-efficient chips.

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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