Applied Research Intern, Robotics - 2026 at NVIDIA

Shanghai, China

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Not SpecifiedCompensation

InternshipExperience Level

InternshipJob Type

UnknownVisa

Robotics, AIIndustries

Requirements

Pursuing Master's degree or above in Robotics, Computer Science, Engineering, or a related field
Skilled at robotic policy development workflow, from lab to launch: teleoperation, synthetic data generation, domain randomization, VLA and RL post-training, sim2real transfer, deployment with edge AI platforms
Familiar with the latest research work in VLA and RL algorithms
Proficiency in Python, PyTorch
Willingness to learn new languages and robot SDK tools as needed
Ability to adapt to fast-paced development lifecycles, multi-functional organizations, new technologies and platforms
Strong problem-solving skills and the ability to determine the best approach to complex challenges
Excellent communication skills and a collaborative approach to working effectively with diverse teams

Responsibilities

Bring the latest advancements in embodied AI to simulated and real humanoid robots, successfully apply research in the challenging industrial scenes, like healthcare scenarios
Build sim-first robot policies with SimReady digital twin and minimize the sim2real gap
Collaborate across team boundaries to integrate NVIDIA robotics products such as Jetson Thor, Isaac GR00T, Cosmos, and Isaac Sim/Lab into the research work
Take on a variety of challenges, solve practical research topics
Deploy and test the developed software on real humanoid robots

Skills

Key technologies and capabilities for this role

RoboticsEmbodied AIPythonPyTorchReinforcement LearningVLASim2RealTeleoperationSynthetic Data GenerationDomain RandomizationJetsonIsaac GR00TIsaac SimCosmosHumanoid Robots

Questions & Answers

Common questions about this position

What education level is required for this internship?

Candidates must be pursuing a Master's degree or above in Robotics, Computer Science, Engineering, or a related field.

What technical skills are required for this role?

Proficiency in Python and PyTorch is required, along with skills in robotic policy development workflow including teleoperation, synthetic data generation, domain randomization, VLA and RL post-training, sim2real transfer, and deployment with edge AI platforms. Familiarity with the latest research in VLA and RL algorithms is also needed.

Is this a remote position or full-time in office?

This information is not specified in the job description.

What is the compensation for this internship?

This information is not specified in the job description.

What experience makes a candidate stand out for this internship?

Familiarity with the latest embodied AI research, experience with VLA/Reinforcement Learning, humanoid robots, and NVIDIA robotics products like Jetson, Isaac GR00T, Cosmos, and Isaac Sim/Lab will help candidates stand out.

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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