Machine Learning Intern, Humanoid Loco-Manipulation - 2026 at NVIDIA

Shanghai, China

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Not SpecifiedCompensation

InternshipExperience Level

InternshipJob Type

UnknownVisa

Robotics, Technology, AIIndustries

Requirements

Currently enrolled in a PhD or Master’s program in Computer Science, Electrical Engineering, Robotics, or a related field, and available for the duration of the internship
Strong programming skills in Python and C++; familiarity with deep learning frameworks (PyTorch, JAX, TensorFlow) and physics simulation tools (Isaac Sim/Lab, MuJoCo)
Demonstrated research or internship experience, with publications in top conferences
Excellent communication and collaboration skills
Experience with large-scale model training on GPU clusters is a plus

Responsibilities

Collaborate with researchers and engineers to define and execute projects focused on humanoid loco-manipulation and mobile manipulation
Contribute to GR00T and Cosmos foundation models
Support the development of reference workflows in Isaac Lab and Newton
Advance technologies for robot learning and synthetic data generation using human video datasets
Design, implement, and deploy novel algorithms for humanoid robot locomotion and manipulation in both simulated and real-world environments
Integrate your work with NVIDIA’s advanced robotics platforms
Transfer your innovations into products, with deliverables including prototypes, patents, and/or publications in top conferences and journals

Skills

Key technologies and capabilities for this role

PythonC++PyTorchJAXTensorFlowIsaac SimIsaac LabMuJoCoDeep LearningMachine LearningRobotics SimulationGPU ClustersFoundation Models3D Perception

Questions & Answers

Common questions about this position

What are the required qualifications for this Machine Learning Intern position?

Candidates must be currently enrolled in a PhD or Master’s program in Computer Science, Electrical Engineering, Robotics, or a related field, and available for the duration of the internship. Strong programming skills in Python and C++; familiarity with deep learning frameworks (PyTorch, JAX, TensorFlow) and physics simulation tools (Isaac Sim/Lab, MuJoCo) are required. Demonstrated research or internship experience with publications in top conferences and excellent communication and collaboration skills are also needed.

What skills or experiences make a candidate stand out for this internship?

Ways to stand out include experience with foundation models for robotics and 3D perception, learning from human video demonstrations, humanoid loco-manipulation, robotics simulation, robot learning and reasoning, and synthetic data generation for robotics research.

Is this a remote position or does it require on-site work?

This information is not specified in the job description.

What is the compensation or salary for this internship?

This information is not specified in the job description.

What kind of team environment can I expect in this role?

You'll work alongside industry-leading experts on the NVIDIA Isaac Loco-Manipulation team, collaborating with researchers and engineers on world-class robotics initiatives.

NVIDIA

Designs GPUs and AI computing solutions

About NVIDIA

NVIDIA designs and manufactures graphics processing units (GPUs) and system on a chip units (SoCs) for various markets, including gaming, professional visualization, data centers, and automotive. Their products include GPUs tailored for gaming and professional use, as well as platforms for artificial intelligence (AI) and high-performance computing (HPC) that cater to developers, data scientists, and IT administrators. NVIDIA generates revenue through the sale of hardware, software solutions, and cloud-based services, such as NVIDIA CloudXR and NGC, which enhance experiences in AI, machine learning, and computer vision. What sets NVIDIA apart from competitors is its strong focus on research and development, allowing it to maintain a leadership position in a competitive market. The company's goal is to drive innovation and provide advanced solutions that meet the needs of a diverse clientele, including gamers, researchers, and enterprises.

Santa Clara, CaliforniaHeadquarters

1993Year Founded

$19.5MTotal Funding

IPOCompany Stage

Automotive & Transportation, Enterprise Software, AI & Machine Learning, GamingIndustries

10,001+Employees

Benefits

Company Equity

401(k) Company Match

Risks

Increased competition from AI startups like xAI could challenge NVIDIA's market position.

Serve Robotics' expansion may divert resources from NVIDIA's core GPU and AI businesses.

Integration of VinBrain may pose challenges and distract from NVIDIA's primary operations.

Differentiation

NVIDIA leads in AI and HPC solutions with cutting-edge GPU technology.

The company excels in diverse markets, including gaming, data centers, and autonomous vehicles.

NVIDIA's cloud services, like CloudXR, offer scalable solutions for AI and machine learning.

Upsides

Acquisition of VinBrain enhances NVIDIA's AI capabilities in the healthcare sector.

Investment in Nebius Group boosts NVIDIA's AI infrastructure and cloud platform offerings.

Serve Robotics' expansion, backed by NVIDIA, highlights growth in autonomous delivery services.

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