INTERNSHIP DETAILS

AI Infra Onboard Performance Intern

CompanyXPENG
LocationSanta Clara
Work ModeOn Site
PostedJune 6, 2026
Internship Information
Core Responsibilities
Design and optimize software for deploying large-scale AI models in production vehicles. Focus on improving inference performance, reducing latency, and enhancing power efficiency on embedded automotive platforms.
Internship Type
full time
Company Size
2339
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
XPENG is a leading smart technology company at the forefront of innovation, integrating advanced AI and autonomous driving technologies into its vehicles, including electric vehicles (EVs), electric vertical take-off and landing (eVTOL) aircraft, and robotics. With a strong focus on intelligent mobility, XPENG is dedicated to reshaping the future of transportation through cutting-edge R&D in AI, machine learning, and smart connectivity.
 
 

Key Responsibilities

  • Design and optimize software for deploying large-scale AI models in production vehicles.
  • Profile and improve inference performance across compute, memory, and I/O systems.
  • Reduce latency and improve power efficiency on embedded automotive platforms.
  • Deliver production-ready optimizations that scale reliably across the vehicle fleet.

Basic Qualifications

  • Master's or PhD in CS/CE/EE or equivalent, with relevant industry or research experience.
  • Strong expertise in C++ and Python, including performance-sensitive, production-quality code.
  • In-depth understanding of computer architecture and high-performance computing (memory hierarchy, parallelism, vectorization, scheduling).
  • Proven experience in application performance analysis and optimization, using profiling tools to diagnose and resolve bottlenecks.

Preferred Qualifications

  • Experience writing and optimizing CPU or CUDA kernels.
  • Experience developing performance tooling and instrumentation (e.g., eBPF, perf, custom tracing/profiling frameworks) for production or embedded systems.
  • Familiarity with embedded or automotive compute platforms (e.g., NVIDIA Orin, Drive) and their power/thermal constraints.
  • Previous experience in the autonomous driving or robotics industry.
  • Effective at solving complex problems collaboratively within larger cross-functional teams.
What do we provide:
  • A fun, supportive and engaging environment.
  • Infrastructures and computational resources to support your work.
  • Opportunity to work on cutting edge technologies with the top talents in the field.
  • Opportunity to make significant impact on the transportation revolution by the means of advancing autonomous driving.
  • Competitive compensation package.
  • Snacks, lunches, dinners, and fun activities.
 
We are an Equal Opportunity Employer. It is our policy to provide equal employment opportunities to all qualified persons without regard to race, age, color, sex, sexual orientation, religion, national origin, disability, veteran status or marital status or any other prescribed category set forth in federal or state regulations.
Key Skills
C++PythonComputer ArchitectureHigh-Performance ComputingPerformance ProfilingCUDAeBPFEmbedded SystemsAI Model DeploymentInference Optimization
Categories
SoftwareEngineeringTechnologyTransportationScience & Research
Benefits
Supportive EnvironmentComputational ResourcesCompetitive Compensation PackageSnacksLunchesDinnersFun Activities