Start searching
Back to Jobs
Other

AI Infra Onboard Performance Intern

XPENGSanta Clara🇺🇸United States

Why this role stands out

This hybrid internship at XPENG offers a unique opportunity to contribute to cutting-edge AI infrastructure for intelligent mobility, developing valuable skills in a rapidly evolving industry. You’ll thrive here if you are eager to learn, passionate about AI and automotive technology, and ready to gain hands-on experience with a forward-thinking company. Apply now to be part of shaping the future of transportation!

Quick overview

SeniorityEntry Level
Work modeHybrid
LocationSanta Clara, United States
Embedded SystemsMachine LearningRoboticsCUDAAutonomous DrivingC++PythonScheduling

Job description

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.

Similar jobs

ApplyOr apply on XPENG's site