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Job Description
XPENG, a smart technology company focused on AI and autonomous driving technologies, is seeking a Senior Staff AI Performance Engineer. The ideal candidate will optimize the training and inference performance of machine learning infrastructure and foundation models for autonomous driving.Role responsibilities include:
  • Optimizing the performance of Deep Learning training workload on NVIDIA GPU systems on a large scale.
  • Optimizing the latency of model inference and model pre- and post-processing on AV onboard systems.
Minimum requirements include:
  • PhD in CS/CE/EE, or equivalent industry experience.
  • 4+ years of C++ and Python programming experience.
  • Knowledge of Computer Architecture and Operating Systems.
  • Background with parallel programming, preferably on GPUs.
  • Ability to analyze/profile workloads and reduce system latency.
  • A proven track record of delivering CPU or GPU latency optimization for real-world engineering systems.
XPENG offers:
  • A fun, supportive, and engaging environment.
  • Infrastructures and computational resources.
  • Opportunity to work on cutting-edge technologies.
  • Opportunity to impact 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)