INTERNSHIP DETAILS

Stanford - 2027 Career Fair Internship Position

CompanyXPENG
LocationSanta Clara
Work ModeOn Site
PostedSeptember 22, 2026
Internship Information
Core Responsibilities
The intern will contribute to the development of cutting-edge physical AI technologies, including autonomous driving systems and robotics foundation models. Responsibilities involve working on large-scale AI infrastructure, reinforcement learning, and embodied agent planning.
Internship Type
full time
Company Size
2516
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 General Intelligence Center:
 
Technical Highlights
  • Cutting-Edge Physical AI Technology – Leveraging state-of-the-art techniques—including large-scale foundation model training, simulation-driven physical AI, multimodal pretraining, and reinforcement learning —to deliver an autonomous system that is robust and adaptive in real-world scenarios.
  • End-to-End Autonomous Driving and Intelligent Cabin – Designed to achieve unmatched safety and intelligence, while redefining industry standards and setting new benchmarks in intelligent mobility.
  • Large-Scale Training and Inference AI Infrastructure – Scalable and efficient AI infrastructure that enables large foundation model training and supports a high-performance inference engine for real-time autonomous decision-making.
Career Pathways
  • Hiring across AI and Machine Learning (e.g., foundation models, pretraining, VLA, VLM, LLM, RL), AI Infrastructure, and Software Engineering roles.
     
About Robotics Center:
 
Technical Highlights
  • Robotics Foundation Models – Building world foundation models for whole-body intelligence.
  • Physical Agents – Building self-evolving embodied agents that can perceive, reason, plan, and act robustly in complex real-world environments.
  • Manipulation – Advancing loco-manipulation and dexterous manipulation, while tackling key challenges in tactile intelligence and VLA scaling.
  • Locomotion & Whole-Body Control – Advancing human-like locomotion (e.g., RL controllers) and whole-body control.
 
Career Pathways
  • Hiring across AI and Machine Learning (e.g., World Models, Behavior Foundation Models, VLA, RL) and Motion Control roles.
Key Skills
Artificial IntelligenceMachine LearningFoundation ModelsReinforcement LearningAutonomous DrivingRoboticsSoftware EngineeringComputer VisionMotion ControlLarge Language ModelsSimulationMultimodal PretrainingInference InfrastructureEmbodied AgentsLocomotionTactile Intelligence
Categories
TechnologyEngineeringSoftwareScience & ResearchData & Analytics