Computer Architecture Intern - 2025 at NVIDIA

Shanghai, China

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Not SpecifiedCompensation

InternshipExperience Level

InternshipJob Type

UnknownVisa

Technology, SemiconductorsIndustries

Requirements

MS Degree in relevant discipline (CS, EE, Math). PhD helpful
Expert programming skills in C or C++
Strong background in computer architecture, parallel processing, signal processing and/or high performance computing
Experience in characterizing and modeling system-level performance or power, executing comparison studies, and documenting and publishing results

Responsibilities

Enhance GPU architecture to extend the state of the art in performance, efficiency, programmability and reliability
Analyze, tune and prototype key applications for new GPU architectures
Build model to predict performance, power and reliability on future architecture
Design and develop tools to analyze, simulate, validate, and verify application performance and energy consumption
Collaborate across the company to guide the direction of GPU computing, working with software, research and product team

Skills

C++

Computer Architecture

Parallel Processing

High Performance Computing

GPU Architecture

Performance Modeling

Power Analysis

Simulation

Signal Processing

Machine Learning

Computer Vision

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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