Silicon Solution Intern - Hardware

Job Title

Silicon Solution Intern - Hardware

Role Summary

Member of the Silicon Solutions team responsible for productizing NVIDIA GPUs/SOCs into customer-ready solutions. The role focuses on feature/IP bring-up, system-level characterization and validation, and cross-functional collaboration to move silicon features into production.

Experience Level

Internship / Entry-level. Intended for current undergraduate or master's students or recent graduates; no specific years of prior professional experience required.

Responsibilities

Work on silicon bring-up, characterization, and system-level feature validation across the product lifecycle.

• Develop validation, tuning and optimization methodologies; create test plans and test cases for GPU/SOC features and IP.
• Perform system-level use-case analysis, profiling, and feature ROI investigations; prototype and validate production-ready methods and control policies.
• Collaborate with system architecture, DFT, ASIC, firmware/software, platform, validation, and production teams on architecture, design, productization, debugging, and deployment.
• Design scripts and tools to automate product definitions, data collection, test execution, and results analysis; provide detailed data analysis of functionality, performance, and latency.
• Hands-on silicon bring-up, validation, and debug; coordinate feature deployment to meet product quality and schedule targets.

Requirements

Must-have technical skills and attributes for the role, plus a short list of nice-to-have items.

• Must-have: Fundamentals of electrical engineering including digital design, computer architecture, power and timing analysis, fault analysis, sampling and statistics, and scripting ability.
• Experience with high-performance circuit areas such as low-power design, PLLs/clocking, SerDes/high-speed I/O, SRAMs, or power delivery/regulation.
• Hands-on lab experience with silicon bring-up, frequency and power characterization, tester-to-system correlation, and lab tools (oscilloscopes, multimeters, DAQ).
• Strong problem-solving, collaboration, and interpersonal skills; effective verbal and written communication.
• Nice-to-have: Familiarity with firmware/driver structures and HW interactions; experience with Python scripting and both Windows and Linux environments.
• Fluent Mandarin Chinese and English for written and verbal communication.

Education Requirements

BS or MS degree in Microelectronics, Electronic Engineering, Computer Engineering/Computer Science, or a closely related field (the posting specifies BS or MS in Microelectronics/Electronic Engineering/Computer and related professionals).

About the Company

Company: NVIDIA

Headquarters: Santa Clara, California, USA

NVIDIA is a global leader in accelerated computing, renowned for its innovative solutions in AI and digital twins that transform diverse industries. The company specializes in networking technologies, providing end-to-end InfiniBand and Ethernet solutions for servers and storage that optimize performance and scalability. NVIDIA serves sectors such as high-performance computing, enterprise data centers, and cloud computing, constantly reinventing its products and services to stay ahead in the market.