SOC Design and Verification Intern - 2026 at NVIDIA

Shanghai, China

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Not SpecifiedCompensation

InternshipExperience Level

InternshipJob Type

UnknownVisa

Semiconductor, TechnologyIndustries

Requirements

Pursuing a BS/MS degree from EE/CS or related majors from a prestigious university
Familiarity with verification methodology, tools, and flow
Understanding of front-end ASIC design flow, including RTL design, synthesis, and timing analysis
Outstanding analytical and problem-solving skills
Proficiency in Python/Perl/JavaScript (a plus)
Proficient in English (both written and spoken) and excellent communication skills
Strong teamwork spirit and the ability to collaborate easily with team members

Responsibilities

Participate in chip top integration and assembly
Engage in design/verification work of system-level units
Optimize composing/verification flow, processes, and methodologies
Develop new tools and flows to improve efficiency and quality

Skills

Key technologies and capabilities for this role

ASIC DesignVerificationRTLSynthesisTiming AnalysisPythonPerlJavaScriptChip Integration

Questions & Answers

Common questions about this position

What degree is required for the SOC Design and Verification Intern position?

Candidates must be pursuing a BS/MS degree from EE/CS or related majors from a prestigious university.

What key skills are needed for this internship?

Familiarity with verification methodology, tools, and flow; understanding of front-end ASIC design flow including RTL design, synthesis, and timing analysis; outstanding analytical and problem-solving skills; proficient English and communication skills; and strong teamwork spirit are required. Proficiency in Python/Perl/JavaScript is a plus.

Is this a remote position or does it require on-site work?

This information is not specified in the job description.

What is the compensation for this intern role?

This information is not specified in the job description.

What kind of company culture does NVIDIA offer for this role?

NVIDIA seeks creative and autonomous individuals, features talented teams you'll collaborate with globally including Arch/SW, ASIC Design/Verification, SOCD/Clocks/SysASIC, DFT, and Physical Design teams, and is considered one of the technology world’s most desirable employers.

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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