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NVIDIA

Designs the chips and software that power AI

Android Software Engineer Intern

Systems Software EngineeringConfirmed live in the last 24 hours
Internship · Summer 2027Taipei City, TaiwanNo salary listedIn-person

About the Job

Requirements

  • A master's degree or above in Computer Science, Electrical Engineering, or a related technical field.
  • Strong programming skills in C, C++, or Java.
  • Working knowledge of Python, shell scripting, or similar automation languages.
  • Solid understanding of operating-system fundamentals and system-level debugging.
  • Strong analytical, problem-solving, communication, and teamwork skills.

Responsibilities

  • Bring up, integrate, and upgrade Android OS releases on NVIDIA hardware platforms.
  • Debug system-level issues across the Android framework, native user space, BSP, kernel, boot, and build environments.
  • Enable and validate platform features and resolve Android compatibility and certification failures.
  • Develop automated validation, functional testing, and post-fix smoke-test workflows.
  • Apply and improve AI-assisted workflows for issue triage, debugging, testing, code review, and issue resolution.
  • Collaborate with cross-functional teams to deliver reliable, production-quality Android software.

Desired Qualifications

  • Experience with AOSP, Android framework internals, native services, HALs, Linux kernel, or BSP development.
  • Experience with Android OS bring-up, upgrades, rebases, or system-level debugging, as well as Android certification, reproducible test flows, or module-level smoke testing.
  • Familiarity with Android build systems, Git, Gerrit, CI/CD, and automated testing.
  • Experience developing AI agent infrastructure or LLM-assisted software-engineering workflows.
  • Strong English communication and technical reporting skills.

About the Company

NVIDIA

Designs the chips and software that power AI

NVIDIA designs the chips and software that power artificial intelligence and sells complete data center systems to cloud providers, AI labs, and other businesses, along with GeForce graphics cards for gamers. Its GPUs, chips that perform thousands of calculations at once, became the main hardware for AI after researchers used them to train the AlexNet image-recognition model in 2012. NVIDIA connects many GPUs with its own processors and networking gear into servers and rack-sized computers, and developers program them through its CUDA software. These systems bring in most of its sales, and it also makes chips for cars and robots. Jensen Huang co-founded NVIDIA in 1993, and it is based in Santa Clara, California.

Company size
10,001+
Company stage
IPO
Headquarters
Santa Clara, CA
Founded
1993

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