Teams at XPeng Motors

Own performance optimization for foundation-model training across thousands of accelerators. Diagnose and resolve bottlenecks across data paths, kernels, parallelism, communication, observability, and long-running stability. Partner with modeling, infrastructure, simulation, data-mining, and robotics teams; establish reusable performance improvements and technical direction. Build profiling infrastructure and agentic automation to reproduce jobs, verify numerical parity, detect regressions, and automate optimization workflows.

Lead full-cycle recruiting for XPENG’s U.S. HR team, primarily supporting Mexico, Brazil, and broader Latin America. Responsibilities include talent mapping, sourcing, screening, interview coordination, offer negotiation, stakeholder advising, pipeline analytics, employer branding, and candidate experience. The role requires strong LATAM market knowledge, cross-cultural collaboration, executive communication, and the ability to manage multiple searches onsite in Silicon Valley. Recruiting expertise in AI, machine learning, autonomous driving, robotics, or software engineering is preferred.

Develop, evaluate, and deploy reinforcement learning methods for autonomous vehicle planning. Design real-time model architectures, build offline data-driven ML infrastructure, analyze fleet and field-testing data, optimize and deploy planning models, and collaborate with perception, software, and AI teams to deliver production autonomous driving systems.