AI Infra Onboard Performance Intern

@ XPENG
XPENGxpeng.com

AI Infra Onboard Performance Intern

Posted 2 months ago

This job is still taking applications, but it's been up a while.

About the job

XPENG is a leading tech company innovating in AI, autonomous driving, and smart mobility. This role focuses on optimizing and deploying large-scale AI models in vehicles, with a focus on performance and efficiency, supporting our mission to redefine transportation.

Requirements

  • Master's or PhD in CS/CE/EE
  • Proficiency in C++ and Python
  • Understanding of computer architecture
  • Experience with performance analysis

Qualifications

  • Research or industry experience
  • Strong coding skills
  • High-performance computing knowledge

Full 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.





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