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$215,280 – $364,320
Listed on XPeng’s own careers site. You apply with them directly — we never stand between you and the employer.
What this role is
XPENG is hiring a staff-level ML engineer to optimize large language models and foundation models for autonomous driving applications, focusing on inference efficiency and training acceleration. This role suits someone with deep expertise in transformer optimization, GPU programming, and model deployment who wants to work on cutting-edge AI infrastructure for self-driving vehicles.
Our summary, not XPeng’s wording. The full posting is on their site.
Skills this role names
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What they ask for
Required
- Master's degree in Computer Science, Computer Engineering, or Electrical Engineering, or equivalent
- 5-8 years of industry experience
- Knowledge of PyTorch
- Understanding of transformer architecture and acceleration techniques
Nice to have
- Experience in autonomous driving industry
- Knowledge of TorchScript and NVIDIA TensorRT
- Strong Python and C++ programming skills
- Familiarity with GPU, CPU, NPU, and DSP architectures
- Deep understanding of memory bandwidth and hardware-aware optimization
- Experience collaborating on complex problems in larger teams