Senior ASIC Verification Engineer - Networking Chip Design at NVIDIA

Shanghai, China

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Semiconductor, NetworkingIndustries

Requirements

Electrical Engineering B.Sc. or Computer Engineering B.Sc. graduate with high scores or equivalent experience
5+ years of experience in relevant areas
A team player with good communication and interpersonal skills
Previous experience in full chip verification environment for complex chips – an advantage

Responsibilities

Work in a combined design and verification team specializing in Switch Fullchip works
Understand the Switch architecture and build on testplan accordingly
Maintain and optimize Fullchip verification environment to meet feature requirements efficiently
Develop Fullchip test suites, maintain regressions, debug failures and sign-off coverages

Skills

Key technologies and capabilities for this role

ASIC VerificationFullchip VerificationSystemVerilogUVMTestplan DevelopmentRegression TestingCoverage Sign-offSwitch ArchitectureChip Design

Questions & Answers

Common questions about this position

What education and experience are required for this Senior ASIC Verification Engineer role?

Candidates need an Electrical Engineering B.Sc. or Computer Engineering B.Sc. with high scores or equivalent experience, plus 5+ years in relevant areas. Previous experience in full chip verification for complex chips is an advantage.

What are the main responsibilities in this position?

Responsibilities include working in a combined design and verification team on Switch Fullchip, understanding Switch architecture to build testplans, maintaining and optimizing the Fullchip verification environment, and developing test suites while debugging failures and signing off coverages.

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.

What qualities make a strong candidate for this role at NVIDIA?

NVIDIA seeks creative and autonomous team players with good communication and interpersonal skills who love the challenge of crafting high-performance, low-power silicon.

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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