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.