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Job Description

XPENG, a smart technology company focused on AI and autonomous driving, is seeking a Senior Staff Machine Learning Performance Engineer. The role involves collaborating with software engineers, machine learning engineers, and research scientists to advance machine learning models for autonomous driving solutions.

Responsibilities:

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

Requirements:

  • Master's or PhD in CS/CE/EE, or equivalent, with 7+ years of industry experience.
  • Strong expertise in C++ and Python.
  • In-depth understanding of computer architecture and high-performance computing.
  • Proven experience in application performance analysis and optimization.
  • Experience with CUDA kernels and Nvidia TensorRT (preferred).
  • Previous experience in the autonomous driving or robotics industry (preferred).
  • Ability to solve complex problems collaboratively on larger teams (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 with top talents.
  • Opportunity to make a significant impact on the transportation revolution.
  • 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)