AI Developer Technology Intern, Robotics - 2027

NVIDIA is hiring an AI Developer Technology Intern, Robotics - 2027 in Shanghai, China. Level rates it ; you can apply on NVIDIA.

Level's read on this job

Level rates this role Builds AI ●●●●: the job is building AI systems.
The posting mentions vLLM, PyTorch and Python among its tools and skills.
Level classes it as an internship.
NVIDIA has 2,700+ other open roles on Level.

AI in this role

Develop and optimize training pipelines and inference performance for robotics foundation models on NVIDIA GPUs as an intern.

vllmpytorchpythonccudadeepspeedmegatron-lmisaac-sim

deep-learningroboticsmodel-optimizationdistributed-training

Today, NVIDIA is 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. We are the DevTech team serving the robotics ecosystem in China. As NVIDIA DevTechs, we are defined as experts in application optimization on NVIDIA platforms — through code optimization, new application architectures, and cutting-edge DL/ML algorithms. Our mission spans performance analysis & modeling, applying modern DL/ML techniques to real-world problems, deep-diving on GPU architecture, building samples/libraries/SDKs, and collaborating with architecture, software engineering, and product management to improve NVIDIA’s current and future platforms. We are looking for a passionate intern to work on Robotics Foundation Model training and inference — powering the next generation of intelligent robotic systems on NVIDIA’s platform.

What You’ll Be Doing:

Develop and optimize training pipelines for robotics foundation models (e.g., vision-language-action models, world models) on NVIDIA GPU clusters
Profile, analyze, and optimize model inference performance on NVIDIA platforms
Apply modern DL/ML techniques to real-world robotics problems
Collaborate closely with NVIDIA architecture, research, libraries, tools, and system software teams to influence the design of next-generation architectures, software platforms, and programming models
Build samples, reference implementations, and documentation to educate developers on NVIDIA robotics AI technologies
Discuss your approach and results together with senior DevTech engineers

What We Need to See:

Currently pursuing a Master’s or PhD degree in Computer Science, Robotics, AI/ML, Electrical Engineering, or a related technical field
Strong programming skills in Python; familiarity with C/C++ and CUDA is a plus
Experience with deep learning frameworks (PyTorch,)
Understanding of transformer architectures and large-scale model training
Basic knowledge of robotics concepts (kinematics, control, perception, or simulation)
Curious, self-motivated, and excited about solving open-ended challenges at NVIDIA

Ways to Stand Out from the Crowd:

Experience with distributed training (DeepSpeed, Megatron-LM, FSDP, NeMo)
Experience with inference optimization (SGlang, vLLM)
Familiarity with NVIDIA robotics platforms (Isaac Sim, Isaac Lab, GR00T)
Publications or project experience in embodied AI or robotics foundation models
Ambitious to grow and learn about building ML applications, optimization, and software engineering

How we rate this

AI Developer Technology Intern, Robotics - 2027 at NVIDIA rates 90 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. Read the description and count the AI tools, models and workflows it names.

Key facts

AI Developer Technology Intern, Robotics - 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 August 26, 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

Deep learningRoboticsModel OptimizationDistributed TrainingvLLMPyTorchPythonC

Questions you could be asked

Tell me about a project where deep learning was part of your work. What did you do?
Tell me about a project where robotics was part of your work. What did you do?
Tell me about a project where model optimization was part of your work. What did you do?
Tell me about a project where distributed training was part of your work. What did you do?
Walk me through how you've used vLLM in your day-to-day work.

Adapt your resume

List these exact terms on your resume: Deep learning, Robotics, Model Optimization, Distributed Training, and vLLM. 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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