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

Semiconductor, TechnologyIndustries

Requirements

Bachelor's Degree in Electrical Engineering or Computer Science
Exposure to design and verification tools
Strong interpersonal skills and ability & desire to innovate

Responsibilities

Develop shared verification code and solutions to be widely used by the chip design team
Develop groundbreaking methodologies to create a flawless experience for verification engineers to keep the focus on new problems
Collaborate with the design automation team to provide end-to-end solutions that combine verification, simulation, and automation
Get in touch with EDA vendors to learn about cutting-edge tools/technology and apply them into our verification process
Understand the design, define the verification scope, develop the verification infrastructure and verify the correctness of the design
Collaborate with designers, verification specialists to accomplish your tasks
Develop training sessions

Skills

Key technologies and capabilities for this role

SystemVerilogUVMSpecmanTestbench DevelopmentCoverage AnalysisSimulation DebuggingEDA ToolsVerification MethodologyChip Design Verification

Questions & Answers

Common questions about this position

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

A Bachelor's Degree in Electrical Engineering or Computer Science is required.

What are the key responsibilities of this position?

Responsibilities include developing shared verification code, creating verification methodologies, collaborating with design automation and designers, engaging with EDA vendors, defining verification scope, building infrastructure, verifying designs, and developing training sessions.

What skills will make me stand out as a candidate?

Experience in Specman / System Verilog UVM, understanding simulation tools, and experience in building test benches, evaluating coverage, and debugging simulation failures will help you stand out.

What is the minimum experience or exposure needed?

Exposure to design and verification tools is required, along with strong interpersonal skills and a desire to innovate.

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

NVIDIA has forward-thinking and hardworking people, seeking creative and autonomous engineers who love challenges in a dynamic, technology-focused environment with emphasis on efficiency and high-quality deliveries.

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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