AI Agent Development Engineer Intern

By submitting your resume, you’re expressing interest in our 2027 RDSS (Research and Development Substitute Services) program. Please confirm your eligibility with the local district office before applying for the role.

For over 25 years, NVIDIA has been revolutionizing computer graphics, PC gaming, and accelerated computing. It’s an outstanding legacy of innovation that’s motivated by great technology—and amazing people. Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be part of a diverse, encouraging environment where everyone is motivated to perform at their highest level. Come join the team and see how you can make a lasting impact on the world.

Join NVIDIA as an AI Infrastructure Tools Engineer and help build the tools that power the future of AI computing. Our engineering role in Taiwan offers an outstanding opportunity to work with modern technology and experienced individuals. You will play a pivotal role in driving innovation and flawless execution in our projects. This is your chance to contribute to groundbreaking advancements and make a significant impact on the industry's future.

What you'll be doing:

• Build and deploy AI agent tools that help engineering teams accelerate software development.
• Continuously oversee the latest AI agent, LLM, and auto-coding technologies, and apply them to improve tool capabilities.  
• Optimize AI-assisted coding workflows to improve usability, code quality, reliability, and development efficiency.
• Work closely with engineers to understand real-world development problems and turn feedback into practical tool improvements.
• Analyze, debug, and resolve sophisticated toolchain issues to ensure a smooth developer experience.
• Create guidelines, documentation, and guidance to support successful adoption across engineering teams.

What we need to see:

• MS in Computer Science, Electrical Engineering, Computer Engineering, Artificial Intelligence, or a related field.
• Strong hands-on experience in AI agents, LLM-based applications, prompt engineering, RAG, tool calling, or AI workflow automation.
• Practical experience building AI-powered applications, coding assistants, automation tools, or developer productivity solutions.
• Solid understanding of software development workflows, including coding, debugging, testing, version control, code review, and CI/CD.
• Ability to continuously supervise the latest AI agent and LLM technologies, evaluate their practical value, and apply them to improve tool usability, reliability, and output quality.
• Strong analytical and problem-solving skills, with the ability to understand engineering problems and deliver effective AI-based solutions.

Ways to stand out from the crowd

• Strong programming skills in Tcl/C++/Python, with the ability to design, implement, debug, and maintain high-quality tools.
• Excellent communication and teamwork abilities, with strong ownership and a passion for innovation.

Widely considered to be one of the technology world’s most desirable employers, NVIDIA offers highly competitive salaries and a comprehensive benefits package. As you plan your future, see what we can offer to you and your family www.nvidiabenefits.com/