NVIDIA’s 2027 AI Developer Technology internship in Shanghai focuses on robotics foundation models, GPU optimization, deep learning and AI software development for Master’s and PhD students.
NVIDIA is recruiting for its AI Developer Technology Intern, Robotics opportunity for 2027. The full-time internship is based in Shanghai, China and is designed for Master’s and PhD students working in computer science, robotics, AI/ML, electrical engineering or related technical fields.
The internship focuses on robotics foundation models, model training and inference, deep learning, GPU optimization and AI software development.
NVIDIA AI Developer Technology Intern Overview
| Detail | Information |
|---|---|
| Organisation | NVIDIA |
| Opportunity | AI Developer Technology Intern, Robotics |
| Job ID | JR2024054 |
| Year | 2027 |
| Location | Shanghai, China |
| Job type | Full time |
| Study level | Master’s or PhD |
| Main fields | Computer Science, Robotics, AI/ML, Electrical Engineering or related |
| Core areas | Robotics AI, foundation models, GPU optimization |
| Salary | Not specified in the supplied vacancy |
| Deadline | Not specified in the supplied vacancy |
What the NVIDIA Robotics Internship Involves
The internship is part of NVIDIA’s Developer Technology team serving the robotics ecosystem in China.
Interns will contribute to Robotics Foundation Model training and inference, working on systems designed to support intelligent robotic applications.
Key responsibilities include:
- Developing and optimizing training pipelines for robotics foundation models.
- Profiling and optimizing model inference performance on NVIDIA platforms.
- Applying deep learning and machine learning techniques to robotics problems.
- Collaborating with architecture, research, libraries, tools and software teams.
- Building samples, reference implementations and documentation.
- Presenting technical approaches and results to senior DevTech engineers.
Robotics Foundation Models and AI
A major focus is the development of robotics foundation models, including vision-language-action models and world models.
The role therefore sits at the intersection of robotics, artificial intelligence, deep learning and GPU computing.
Who Should Apply?
The opportunity is aimed at students currently pursuing a Master’s or PhD in:
- Computer Science
- Robotics
- Artificial Intelligence or Machine Learning
- Electrical Engineering
- Related technical fields
Applicants should have strong Python programming skills. Familiarity with C/C++ and CUDA is an advantage rather than a stated mandatory requirement.
Technical Requirements Explained
NVIDIA is looking for candidates with a combination of software, AI and robotics knowledge.
Programming: Strong Python skills are required, while C/C++ and CUDA are useful additional skills.
Deep Learning: Experience with deep learning frameworks such as PyTorch is listed.
Transformers: Applicants should understand transformer architectures and large-scale model training.
Robotics: Basic knowledge of kinematics, control, perception or simulation is expected.
The role also calls for curiosity, self-motivation and an ability to work on open-ended technical problems.
Skills That Can Help You Stand Out
NVIDIA identifies several areas that can strengthen an application, including:
- Distributed training with DeepSpeed, Megatron-LM, FSDP or NeMo
- Inference optimisation with SGLang or vLLM
- NVIDIA robotics platforms such as Isaac Sim, Isaac Lab and GR00T
- Publications or projects involving embodied AI
- Experience with robotics foundation models
- Interest in machine learning applications, optimisation and software engineering
For applicants, the practical takeaway is to demonstrate these skills through real projects, not simply list them on a CV.
Salary and Benefits
The supplied vacancy does not specify a salary, hourly rate, stipend or detailed internship benefits for this position.
Applicants should check the live NVIDIA vacancy for any updated compensation information.
Why This Internship Matters
This opportunity combines several technical areas that are increasingly connected in modern AI development: robotics foundation models, deep learning, GPU optimisation, inference and software engineering.
It may be particularly relevant to advanced students interested in embodied AI, robotic intelligence, machine learning systems or high-performance AI applications.
Application Deadline
The supplied vacancy does not state a specific application deadline.
Applicants should check the live NVIDIA Careers listing for the latest application status.
How to Apply
Applications should be submitted through the official NVIDIA Careers vacancy for Job Requisition ID JR2024054. The official listing is currently published by NVIDIA under its university employment category.
NVIDIA AI Developer Technology Intern, Robotics – 2027 – Official Application
Applicants should upload their resume and review the technical requirements carefully before applying.
Application Tips
Tailor your CV specifically to this opportunity.
Highlight practical evidence of Python, PyTorch, transformer models, robotics and GPU computing. Projects involving Isaac Sim, Isaac Lab, distributed training or inference optimisation should be clearly described where applicable.
For each major project, explain the problem you solved, the technologies you used, your contribution and the result.
Opportunities Feed Assessment
This NVIDIA internship is best suited to advanced students who can connect AI/ML knowledge with practical robotics and software development.
The strongest alignment comes from combining Python, deep learning, transformer knowledge and robotics concepts. Experience with distributed training, inference optimisation or NVIDIA robotics platforms can provide additional relevance.
Unlike a general software engineering internship, this opportunity has a specific focus on robotics foundation models and NVIDIA platforms, so candidates should make their technical specialisation clear.
Frequently Asked Questions
What is the NVIDIA AI Developer Technology Intern, Robotics role?
It is a 2027 full-time internship focused on robotics foundation model training, inference optimisation and AI development on NVIDIA platforms.
Where is the internship located?
The vacancy lists Shanghai, China.
What degree level is required?
Applicants must be pursuing a Master’s or PhD in Computer Science, Robotics, AI/ML, Electrical Engineering or a related technical field.
Is Python required?
Yes. NVIDIA lists strong Python programming skills as a requirement.
Is CUDA required?
CUDA is not listed as mandatory. NVIDIA states that familiarity with C/C++ and CUDA is a plus.
Is PyTorch required?
Experience with a deep learning framework such as PyTorch is listed in the vacancy.
What robotics knowledge is expected?
Basic knowledge of kinematics, control, perception or simulation is expected.
What can make an applicant stand out?
Experience with distributed training, inference optimisation, NVIDIA robotics platforms, embodied AI projects or robotics foundation models can strengthen an application.
Is the internship paid?
The supplied vacancy does not specify a salary or stipend.
Is there an application deadline?
No specific deadline is stated in the supplied vacancy.
Disclaimer
Opportunities Feed is sharing this internship for informational and career purposes. We are not affiliated with NVIDIA and do not recruit applicants on its behalf. Applicants should verify the latest eligibility requirements, location, compensation, deadline and application instructions through the official NVIDIA Careers website.
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