Jobs and Careers
XP
Senior Staff AI Performance Engineer
XPeng MotorsSanta Clara, United Statesfull_timeVerifiedPosted 16 Jun 2025
💰 $413,160/yr($244,140/yr – $413,160/yr)
About the role
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.
We are looking for a full-time AI Performance Engineer, with deep knowledge and strong enthusiasm towards optimizing the training and inference performance of state-of-art ML infrastructure and foundation models for autonomous driving.
Our mission is to solve the autonomous driving problem. You will work with a team of talented software engineers, machine learning engineers and research scientists to push the boundary of state-of-art machine learning models which will enable the next-generation E2E solution of autonomous driving.
Job Responsibilities:
- Optimize the performance of Deep Learning training workload on NVIDIA GPU systems on a large scale.
- Optimize the latency of model inference and model pre- and post-processing on AV onboard systems.
- PhD in CS/CE/EE, or equivalent, in industry experience.
- 4+ years of experience with C++ and Python programming.
- Knowledge of Computer Architecture and Operating Systems.
- Background with parallel programming, preferably on GPUs.
- Capability to analyze/profile workloads and do detective work to reduce system latency.
- A Track-record of delivery CPU or GPU latency optimization for real-world engineering systems.
- Previous experience in the autonomous driving industry.
- Experience in PyTorch.
- Proven experience developing large software projects with engineering excellence.
- A track record of efficiently solving complex problems collaboratively on larger teams.
- 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
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