Silicon Solution Intern - 2026 at NVIDIA

Shanghai, China

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Not SpecifiedCompensation

InternshipExperience Level

InternshipJob Type

UnknownVisa

Semiconductor, HardwareIndustries

Requirements

BS or MS degree in Microelectronics/Electronic Engineering/Computer and Related Professionals
EE fundamentals, knowledgeable in digital design, computer architecture, power analysis, timing analysis, fault analysis, sampling, statistics, and scripting
Experience in one or more areas of high-performance circuit (Low power, PLLs and clocking, SerDes and high-speed IO, SRAMs, power delivery/regulation, security circuits etc)
Good understanding of firmware/driver structures and their interaction with HW (plus)
Experience with Python script development, Windows and Linux OS (plus)
Hands-on lab experience with silicon bring up, frequency and power characterization, Tester to System correlation, lab tools (oscilloscopes, multimeters, DAQ)
Excellent problem solving, collaborative, and interpersonal skills
Excellent verbal communication and written, presentation skills in both Chinese and English
Effective in a collaborative environment

Responsibilities

Work proactively on GPU/SOC feature/IP bring-up and characterization including creating validation, tuning and optimization methodologies, develop proper test plan and test cases
Perform system level use case analysis/profiling and feature return-on-investment investigations, prototype and validation, design methods and control policies to bring the new technology into production and transcend product goals
Collaborate across System Architecture, DFT, ASIC, SW/FW, platform, validation, and production teams throughout the product life cycle on system-level architecture, design, productization, debugging, and deployment for complex silicon designs to improve quality, safety, and manufacturability
Design tools/script to automate product definitions, data collection, test case execution, and results analysis
Provide detailed data analysis of functionality, performance, and latency
Hands on actions on silicon bring-up, validation, and debug
Coordinate product level feature deployment to achieve high product quality at aggressive schedule

Skills

GPU

SOC

feature bring-up

characterization

validation

test plan

system architecture

DFT

ASIC

SW/FW

digital design

computer architecture

power analysis

timing analysis

fault analysis

scripting

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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