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$174,720 – $295,680
Listed on XPeng’s own careers site. You apply with them directly — we never stand between you and the employer.
What this role is
This role involves building and optimizing large-scale vision-language-action foundation models that form the core of XPENG's autonomous driving systems. You'll design multi-modal architectures, lead pretraining strategies on massive fleet data, and collaborate across research and infrastructure teams to deploy intelligent models for next-generation 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 or higher in Computer Science, Electrical/Computer Engineering, or related field
- 3+ years of deep learning research or productization experience
- Proficiency in PyTorch and transformer-based model design
- Experience with large-scale pretraining or multi-modal modeling
- Understanding of representation learning, temporal modeling, and self-supervised or reinforcement learning
- Familiarity with distributed training frameworks and large-batch optimization
Nice to have
- PhD in CS/CE/EE or related field with 1+ years of industry experience
- Published work in top-tier AI conferences (CVPR, ICCV, NeurIPS, ICLR, ICML, ECCV)
- Experience building foundation models, end-to-end driving models, or LLM/VLM architectures (ViT, Flamingo, BEVFormer, RT-2, GRPO)
- Familiarity with RLHF, DPO, GRPO, trajectory prediction, or policy learning for control
- Cross-functional collaboration experience with infrastructure, perception, and planning teams