System Software Engineering Intern, GPU and SoC - Summer 2027

Job Title

System Software Engineering Intern, GPU and SoC - Summer 2027

Role Summary

Join a GPU software team to implement and validate low-level system software for next-generation GPU chips and SoC platforms. Work areas include GPU kernel drivers, SoC platform software, firmware interfaces, performance and power management, and related system software tooling.

This is a hands-on internship focused on development, bring-up, simulation, and validation across hardware-software integration tasks; projects may touch platform security, confidential computing, AI-related system software, or developer productivity tooling.

Experience Level

Entry-level internship for students currently enrolled in a university program. Practical experience via projects or prior internships is beneficial.

Responsibilities

Typical responsibilities for assigned internship projects include:

• Design, implement, and verify features for GPU chips and SoC platforms, collaborating with hardware architects and cross-functional engineers.
• Contribute to early modeling, simulation, bring-up, and validation activities required for product delivery.
• Develop and enhance low-level system software: kernel drivers, firmware interfaces, platform software, performance features, and power management.
• Perform system-level debugging, root-cause analysis, and stability/performance troubleshooting on complex hardware/software stacks.
• Support project work across core GPU kernel software, SoC platform software, or adjacent system-software areas as needed.
• Collaborate and communicate effectively with geographically distributed teams throughout the product lifecycle.

Requirements

Must-have technical skills and experience:

• Strong programming skills in C and C++.
• Experience or familiarity with low-level driver development and system software on x86, ARM, or SoC platforms.
• Understanding of computer architecture, operating system fundamentals, microprocessors, and microcontrollers.
• Familiarity with Linux, Android, ChromeOS, or Windows kernel and system software environments.
• Ability to perform system-level debugging, root-cause analysis, and performance or stability troubleshooting.

Nice-to-have:

• Exposure to platform security, confidential computing, or secure software design.
• Interest or experience with AI/ML workflows, AI infrastructure, or AI-assisted tooling for development and debugging.
• Background in GPU/SoC architecture, device drivers, memory management, firmware, power management, and performance tuning.
• Experience with large-scale build/test flows, embedded or RTOS environments, and cross-platform development.

Education Requirements

Currently pursuing a BS, MS, or PhD in Computer Engineering, Computer Science, Electrical Engineering, or a related technical field.

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.