NVIDIA 2026 Software Engineering Internships China
@ NVIDIA

Beijing, Beijing, China
$50,000
On Site
Full Time
Posted 23 days ago

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About NVIDIA 2026 Software Engineering Internships China

By submitting your resume, you’re expressing interest in one of our 2026 Software Engineering Internships. We’ll review resumes on an ongoing basis and a recruiter may reach out if your experience fits one of our many internship opportunities.

What We Do

NVIDIA pioneered accelerated computing to tackle challenges no one else can solve. Our work in AI and digital twins is transforming industries from gaming to robotics, self-driving cars to healthcare, climate change to virtual worlds.

Internship Areas

  • Development Tools: Debug system-level issues and work with relational databases, linear algebra, operating systems, scheduling, and hardware virtualization.
  • Cloud: Support cloud storage infrastructure design and automation using distributed systems and container management.
  • Tools Infrastructure: Build production workflows and chip design support technologies using Unix/Shell, Linux, JavaScript frameworks, C++, CUDA, and more.
  • Machine Learning Operations: Work with deep learning, GPU computing, accelerated computing, and build backend analytics infrastructure.

Requirements

Must be actively enrolled in a university pursuing a Bachelor's, Master's, or PhD degree in Electrical Engineering, Computer Engineering, or a related field. Depending on the role, proficiency in programming languages and technologies such as Java, JavaScript (Node, React, Vue), SQL, C, C++, CUDA, OOP, Go, Python, Git, Perforce, Kubernetes, Microservices, and configuration automation tools is expected.

Key skills/competency

Software, Internship, Development, Debugging, Cloud, Machine Learning, Tools, C++, Python, Kubernetes

How to Get Hired at NVIDIA

🎯 Tips for Getting Hired

  • Customize your resume: Tailor skills to NVIDIA requirements.
  • Highlight internships: Emphasize relevant project experience.
  • Research NVIDIA culture: Review mission and recent innovations.
  • Practice technical interviews: Focus on algorithms and coding challenges.

📝 Interview Preparation Advice

Technical Preparation

Review programming languages like C, C++, Python.
Practice debugging on system-level projects.
Study cloud architectures and container management.
Brush up on data structures and algorithm challenges.

Behavioral Questions

Describe a time you solved technical challenges.
Explain your teamwork experience on projects.
Discuss handling tight deadlines effectively.
Share how you adapt to new technologies.

Frequently Asked Questions