Software Engineering Intern, Deep Learning - 2027

NVIDIA is hiring a Software Engineering Intern, Deep Learning - 2027 in Shanghai, China. Level rates it ; you can apply on Level.

AI in this role

computer-vision

NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, we are increasingly known as “the AI computing company.” We're looking to grow our company, and build our teams with the smartest people in the world. Would you like to join us at the forefront of technological advancement?

We are now hiring software engineers for our China TSE Deep Learning team. Join our China TSE Deep Learning solution team and help build the cutting-edge, high-performance deep learning solutions driving our success in this exciting and quickly growing field.

What you'll be doing:

Work on research, design and implementation of software features that are beneficial to our customers to meet their performance targets and build unique values
VLA (Vision Language Action) and autonomous driving related development and bug fixes
Develop solutions for DNN models acceleration optimization and deployment.

What we need to see:

Subject to arrangement to different works at any time to take on different tasks and challenges
Self-motivated attitude and motivation to make things success, intent to learn
Pursuing BS/MS degree in Computer Science/EE or related
Proven fundamentals in c++/python programming and SW design and debug skills
Abundant knowledge of ML/DL techniques for Computer Vision and autonomous driving
Believe that experimenting is the only way to find the truth, not argument and arbitrary guess
Located in Shanghai/Shenzhen or willing to work in Shanghai/Shenzhen

Ways to stand out from the crowd:

DNN development and network acceleration is highly desired
Familiarity with GPU computing/NVIDIA CUDA/NVIDIA TensorRT

NVIDIA is widely considered to be one of the technology world's most desirable employers. We have some of the most brilliant and talented people in the world working for us. If you're creative and autonomous, we want to hear from you!

NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression , sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

#deeplearning

How we rate this

Software Engineering Intern, Deep Learning - 2027 at NVIDIA rates 85 out of 100 for how much of the daily work is AI. That makes it Builds AI (AI Level 4 of 4). The level is about AI in the job, not seniority.

Classification

Builds AI. The job is building AI systems.

●●●● Builds AI80 to 100
●●●○ Works on AI60 to 79
●●○○ Uses AI40 to 59
●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.

Key facts

Software Engineering Intern, Deep Learning - 2027 is an open job at NVIDIA.
Level rates this role AI Level 4 of 4: Builds AI.
The role is based in China, Shanghai.
The job was posted on October 13, 2026.
Seniority: intern.
Applications are handled by NVIDIA. Apply on NVIDIA

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

Computer vision

Questions you could be asked

Walk me through a computer vision problem you solved, from raw data to a deployed model.
How would you decide a model or AI system is ready to ship?
Tell me about a time a model underperformed in production. How did you find out, and what did you change?

Adapt your resume

List these exact terms on your resume: Computer vision. An applicant tracking system matches the wording, not the idea.
Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
Lead with what you built, trained or shipped. This role is judged on the AI system itself, not the tools around it.

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