INTERNSHIP DETAILS

2027 Campus Recruiting Robotics Center Internship Position

CompanyXPENG
LocationSanta Clara
Work ModeOn Site
PostedAugust 5, 2026
Internship Information
Core Responsibilities
The intern will contribute to the development of robotics foundation models, including LLM/VLM co-design and efficient deployment. They will also work on data-driven manipulation, locomotion, and whole-body control systems.
Internship Type
full time
Company Size
2457
Visa Sponsorship
No
Language
English
Working Hours
40 hours
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About The Company
XPENG is a leading Chinese Smart EV company that designs, develops, manufactures, and markets Smart EVs that appeal to the large and growing base of technology-savvy middle-class consumers. Its mission is to drive Smart EV transformation with technology and data, shaping the mobility experience of the future. In order to optimize its customers’ mobility experience, XPeng develops in-house its full-stack advanced driver-assistance system technology and in-car intelligent operating system, as well as core vehicle systems including powertrain and the electrical/electronic architecture. XPeng is headquartered in Guangzhou, China. In 2021, the Company established its European headquarters in Amsterdam, along with other dedicated offices in Copenhagen, Munich, Oslo, and Stockholm.The Company’s Smart EVs are mainly manufactured at its plant in Zhaoqing and Guangzhou，Guangdong province. For more information, please visit https://www.xpeng.com/
About the Role
About Robotics Center:
 
Technical Highlights
  • Robotics Foundation Models - LLM/VLM co-design with in-house chips, efficient training and deployment.
  • Manipulation – Data-driven end-to-end manipulation (e.g., VLA, World Models, World Action Models).
  • Locomotion & Whole-Body Control – Human-like walking (e.g., RL Controller) and whole body control.
Career Pathways
  • Hiring across AI and Machine Learning (e.g., VLA, VLM, LLM, RL) and Motion Control roles.
Key Skills
RoboticsArtificial IntelligenceMachine LearningLLMVLMVLAReinforcement LearningMotion ControlWhole-body ControlData-driven ManipulationWorld ModelsWorld Action ModelsChip DeploymentEfficient Training
Categories
TechnologyEngineeringScience & ResearchSoftwareData & Analytics