GPU Workload Analysis Intern - 2026 at NVIDIA

Shanghai, China

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Not SpecifiedCompensation

Internship, Entry Level & New GradExperience Level

InternshipJob Type

UnknownVisa

Semiconductor, TechnologyIndustries

Requirements

Good communication and problem analysis ability
Shown knowledge of DL algorithms
Experience of training and fine-tuning model
Experience of building and improving own model
Bachelor in CS or EE (MS, PhD or equivalent is a plus)
Knowledge of GPU architecture (ways to stand out)
Experience of building AI agent (ways to stand out)

Responsibilities

Get familiar with various GPU workload’s composition
Learn about what’s the usual feature metrics for GPU workload
Design and implement inventive solution to efficiently extract features from GPU workload
Verify the solution using direct and random GPU workload
Design and implement inventive solution simplify GPU workload while keeping the required features
Design and implement inventive solution to generate GPU workload according to required features
Design and implement inventive solution to generate GPU workload which has the same feature with a given test and randomize other (required) features
Thoroughly verify the solution on GPU functional simulator/full chip RTL/emulation/silicon platform
Provide detailed and organized documentation and report out for the project

Skills

GPU architecture

DL algorithms

model training

model fine-tuning

AI agent

Python

C++

RTL

emulation

simulator

workload analysis

feature extraction

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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