XPENG

Own the performance of foundation-model training across thousands of accelerators, improving step time, scaling efficiency, and stability for autonomous driving and robotics workloads. Lead cross-team optimization and build automated agents that identify and validate performance improvements.

Lead a small interdisciplinary team advancing frontier robotics research from technical vision and roadmap through prototypes and real-world validation. The role combines hands-on work across AI algorithms, simulation, robot systems, and experimentation.

XPENG is hiring a Senior Machine Learning Engineer to build large-scale ML infrastructure for training and serving foundation models powering autonomous driving, robotics, and other physical AI applications. The role focuses on distributed training, inference acceleration, and massive-scale data pipelines.

Staff Machine Learning Engineer developing reinforcement-learning planning systems for autonomous vehicles. The role combines ML research, software engineering, real-time model optimization, and deployment using large-scale fleet data.

Build the internal AI engineering platform that connects software agents to engineering systems, workflows, and operational actions. This role combines robust backend platform engineering with agentic systems, automation, customer onboarding, and safe execution.

Develop reinforcement-learning controllers and deep-learning methods for humanoid robot locomotion and whole-body control. This role combines robotics research, experimentation, and sim-to-real implementation at XPENG.

Lead the design, training, evaluation, and deployment of XPENG’s Vision-Language-Action foundation model for next-generation L3/L4 autonomous driving. This research-driven role combines large-scale multimodal model development with production optimization for onboard execution.

Optimize AI model inference software for production vehicles, improving latency, memory use, and power efficiency on embedded automotive platforms. This internship offers hands-on work with performance tooling, C++/Python, CUDA, and autonomous driving infrastructure.