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Job Description

The Senior Machine Learning Performance Engineer will join XPENG, a smart technology company focused on AI and autonomous driving technologies. The engineer will collaborate with software engineers, machine learning engineers, and research scientists, contributing to the next-generation E2E solution for autonomous driving.

Responsibilities:

  • Design and optimize onboard software systems for deploying large deep learning models.
  • Focus on performance, power efficiency, and latency in production vehicles.

Requirements:

  • Master or PhD in CS/CE/EE, or equivalent, with 0-3 years of industry experience.
  • Strong expertise in C++ and Python.
  • In-depth understanding of computer architecture and high-performance computing.
  • Experience in application performance analysis and optimization.
  • Experience with CUDA kernels and Nvidia TensorRT (Preferred).
  • Previous experience in autonomous driving or robotics (Preferred).
  • Ability to solve complex problems collaboratively (Preferred).

What XPENG Offers:

  • A fun, supportive, and engaging environment.
  • Infrastructures and computational resources to support your work.
  • Opportunity to work on cutting-edge technologies.
  • Opportunity to impact transportation through advancing autonomous driving.
  • Competitive compensation package.
  • Snacks, lunches, dinners, and fun activities.
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XPENG

XPENG is an innovative smart technology company focused on reshaping the future of transportation. The company integrates AI, autonomous driving, and machine learning into its electric vehicles (EVs), electric vertical take-off and landing (eVTOL) aircraft, and robotics. XPENG leverages real-world data to develop next-generation AI-driven driving solutions, with a focus on intelligent mobility and advancing the capabilities of autonomous driving systems through extensive R&D.

All Jobs at XPENG (34)