Embodied AI Intern

Location: Shanghai, China Department: No Career Track

At DNV’s Artificial Intelligence Research Center in Shanghai, our research spans multiple domains, including IoT, computer vision, large language models, foundation models, generative AI, and AI agents. We are dedicated to advancing AI technologies that support real-world applications across various DNV business segments, including maritime, energy systems, digital assurance, and more.

As an Embodied AI Intern, you will join the research team supporting the development of high-quality datasets for AI model training and validation. Your key responsibilities will include:

Participate in software development and system integration for quadruped robots (e.g., Unitree GO2) and robotic arms.

Develop and test applications for smart glasses and related wearable devices.

Support the setup and validation of simulation environments (e.g., Gazebo, Isaac Sim).

Structured training and guidance from experienced data operations specialists and AI team members

Hands-on experience with industry-scale data annotation workflows across maritime, energy, and digital assurance domains

Exposure to AI/ML data pipelines, including quality control, labeling standards, and best practices

Internship Duration: 4-6 months Availability: At least 3 working days per week

DNV is an Equal Opportunity Employer and gives consideration for employment to qualified applicants without regard to gender, religion, race, national or ethnic origin, cultural background, social group, disability, sexual orientation, gender identity, marital status, age or political opinion. Diversity is fundamental to our culture and we invite you to be part of this diversity.

Requirements

Currently pursuing a Bachelor's or Master's degree in Computer Science, Automation, Electrical Engineering, Robotics, or a related field.

Proficient in Python or C++, with good coding practices.

Familiar with Linux development environment.

Required to work onsite three days per week (Tuesday to Thursday).

Preferred Qualifications

Experience in computer vision or deep learning (e.g., OpenCV, PyTorch).

Hands-on experience with Unitree robots or other quadruped platforms.

Experience in developing applications for smart glasses or robotic arms.

Familiar with simulation platforms (e.g., Gazebo, Isaac Sim, Unity).

Security and compliance with statutory requirements in the countries in which we operate is essential for DNV. Background checks will be conducted on all final candidates as part of the offer process, in accordance with applicable country-specific laws and practices.