Design verification intern at NVIDIA

Shanghai, China

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Not SpecifiedCompensation

InternshipExperience Level

InternshipJob Type

UnknownVisa

Semiconductor, Hardware, AIIndustries

Requirements

Actively enrolled in a university pursuing a Bachelor's, Master's, or PhD degree in Electrical Engineering, Computer Engineering, or a related field, for the entire duration of the internship
Course or internship experience related to Digital Systems, Digital Design, VLSI Design, RTL Design, Testbench Creation
Course or internship experience related to Formal Verification, GPU or processor Verification or Validation
Course or internship experience related to Random functional testing, writing test plans, directed/random diagnostics

Responsibilities

(Not explicitly listed in the job description; typically developed during the internship based on team needs in design verification.)

Skills

Key technologies and capabilities for this role

Digital SystemsDigital DesignVLSI DesignRTL DesignTestbench CreationFormal VerificationGPU VerificationProcessor VerificationVerilogSystemVerilogTCLCC++Linux

Questions & Answers

Common questions about this position

What degree program must I be enrolled in for this internship?

You must be actively enrolled in a university pursuing a Bachelor's, Master's, or PhD degree in Electrical Engineering, Computer Engineering, or a related field, for the entire duration of the internship.

What skills are required for the design verification intern role?

Required experience includes course or internship work in Digital Systems, Digital Design, VLSI Design, RTL Design, Testbench Creation, Formal Verification, GPU or processor Verification or Validation, and Random functional testing, writing test plans, directed/random diagnostics.

What experiences help me stand out for this position?

To stand out, have experiences with Verilog, SystemVerilog, TCL, C, C++, Linux, a good understanding of AI technology, and experience with AI tools and prompts, plus knowledge on Formal Verification.

Is this a full-time or part-time internship?

The employment type is full time.

What is the compensation for this internship?

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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