<div><div><div><div><div><strong>XPENG</strong> 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&amp;D in AI, machine learning, and smart connectivity.</div><div> </div><div><div><strong>About the Role</strong><div>We are actively seeking a full-time <strong>Research Scientist Intern</strong> to drive the modeling and algorithmic development of XPENG’s next-generation <strong>Vision-Language-Action (VLA) Foundation Model</strong> — the core brain that powers our end-to-end autonomous driving systems.</div><div> </div><div>You will work closely with world-class researchers, perception and planning engineers, and infrastructure experts to design, train, and deploy large-scale multi-modal models that unify vision, language, and control. Your work will directly shape the intelligence that enables XPENG’s future L3/L4 autonomous driving products.</div><strong>Key Responsibilities</strong><ul><li><div>Conduct research on designing and implementing <strong>large-scale multi-modal architectures</strong> (e.g., vision–language–action transformers) for end-to-end autonomous driving.</div></li><li><div>Design and integrate <strong>cross-modal alignment</strong> (e.g., visual grounding, temporal reasoning, policy distillation, imitation and reinforcement learning) to improve model interpretability and action quality.</div></li><li><div>Closely collaborate with researchers and engineers across the modeling and infrastructure team.</div></li><li><div>Contribute to top-tier AI/CV/ML conferences publications and present research findings.</div></li></ul><strong>Minimum Qualifications</strong><ul><li><div>Currently enrolled in the Master/Ph.D program in <strong>Computer Science, Electrical/Computer Engineering, or related field</strong>, with<strong> </strong>the specialization in the CV/NLP/ML.</div></li><li><div>Experience in <strong>multi-modal modeling</strong> (vision, language, or planning), with deep understanding of <strong>representation learning, temporal modeling</strong>, and <strong>reinforcement learning</strong> techniques.</div></li><li><div>Strong proficiency in <strong>PyTorch</strong> and modern transformer-based model design.</div></li></ul><strong>Preferred Qualifications</strong><ul><li><div>Publication record in top-tier AI conferences (CVPR, ICCV, ECCV, NeurIPS, ICLR, ICML, etc).</div></li><li><div>Prior experience building <strong>foundation or end-to-end driving models</strong>, or <strong>LLM</strong><strong>/VLM architectures</strong> (e.g., ViT, Flamingo, BEVFormer, RT-2, or GRPO-style policies).</div></li><li><div>Knowledge of <strong>RLHF/DPO/GRPO</strong>, <strong>trajectory prediction</strong>, or <strong>policy learning</strong> for control tasks.</div></li><li><div>Familiarity with <strong>distributed training</strong> (DDP, FSDP) and large-batch optimization.</div></li></ul><strong>What We Offer</strong><ul><li><div>A collaborative, research-driven environment with access to <strong>massive real-world data</strong> and <strong>industry-scale compute</strong>.</div></li><li><div>Opportunity to work with <strong>top-tier researchers and engineers</strong> advancing the frontier of foundation models for autonomous driving.</div></li><li><div>Direct impact on the next generation of <strong>intelligent mobility systems</strong>.</div></li><li><div>Comprehensive benefits, meals, and team-building activities.</div></li></ul></div></div><div><strong>What do we provide:</strong></div><ul><li><div>A fun, supportive and engaging environment</div></li><li><div>Infrastructures and computational resources to support your work.</div></li><li><div>Opportunity to work on cutting edge technologies with the top talents in the field.</div></li><li><div>Opportunity to make significant impact on the transportation revolution by the means of advancing autonomous driving</div></li><li><div>Competitive compensation package</div></li><li><div>Snacks, lunches, dinners, and fun activities</div></li></ul><div> </div><div>We are an Equal Opportunity Employer. It is our policy to provide equal employment opportunities to all qualified persons without regard to race, age, color, sex, sexual orientation, religion, national origin, disability, veteran status or marital status or any other prescribed category set forth in federal or state regulations.</div></div></div></div></div>

<p>XPENG is a leading tech company that designs, develops, manufactures, and markets intelligent mobility solutions. We explore the diversity of mobility including electric vehicles (EVs), electric vertical take-off and landing (eVTOL) aircraft, and robotics. We focus on creating a future of mobility that uses thoughtful and empathetic intelligence to improve the driving experience. XPENG is committed to in-house R&amp;D, with almost 40% of our employees working in R&amp;D-related areas helping to develop our expanding product portfolio. The Company has created a full-stack Advanced Driver Assistance System (XPILOT), as well as an intelligent operating system (Xmart OS) for an enhanced in-car experience. XPENG has also developed core vehicle systems for enhanced driving capabilities, including powertrains and advanced electronic architecture. XPENG is headquartered in Guangzhou, China with multi-regional offices in Beijing, Shanghai, Shenzhen, Silicon Valley, and San Diego. In 2021, the Company established its European headquarters in Amsterdam, along with other dedicated offices in Copenhagen, Munich, Oslo, and Stockholm. XPENG's EVs are manufactured at the fully-owned plant located in Zhaoqing, China. To further expand our production capacity, two new self-owned intelligent EV manufacturing bases in Guangzhou and Wuhan are under construction now.</p>

Research Scientist Intern

<div><div><div><div><div><strong>XPENG</strong> 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&amp;D in AI, machine learning, and smart connectivity.</div><div>&nbsp;</div><div><div><strong>About the Role</strong><div>We are actively seeking a full-time <strong>Research Scientist Intern</strong> to drive the modeling and algorithmic development of XPENG’s next-generation <strong>Vision-Language-Action (VLA) Foundation Model</strong> — the core brain that powers our end-to-end autonomous driving systems.</div><div>&nbsp;</div><div>You will work closely with world-class researchers, perception and planning engineers, and infrastructure experts to design, train, and deploy large-scale multi-modal models that unify vision, language, and control. Your work will directly shape the intelligence that enables XPENG’s future L3/L4 autonomous driving products.</div><strong>Key Responsibilities</strong><ul><li><div>Conduct research on designing and implementing <strong>large-scale multi-modal architectures</strong> (e.g., vision–language–action transformers) for end-to-end autonomous driving.</div></li><li><div>Design and integrate <strong>cross-modal alignment</strong> (e.g., visual grounding, temporal reasoning, policy distillation, imitation and reinforcement learning) to improve model interpretability and action quality.</div></li><li><div>Closely collaborate with researchers and engineers across the modeling and infrastructure team.</div></li><li><div>Contribute to top-tier AI/CV/ML conferences publications and present research findings.</div></li></ul><strong>Minimum Qualifications</strong><ul><li><div>Currently enrolled in the Master/Ph.D program in <strong>Computer Science, Electrical/Computer Engineering, or related field</strong>, with<strong> </strong>the specialization in the CV/NLP/ML.</div></li><li><div>Experience in <strong>multi-modal modeling</strong> (vision, language, or planning), with deep understanding of <strong>representation learning, temporal modeling</strong>, and <strong>reinforcement learning</strong> techniques.</div></li><li><div>Strong proficiency in <strong>PyTorch</strong> and modern transformer-based model design.</div></li></ul><strong>Preferred Qualifications</strong><ul><li><div>Publication record in top-tier AI conferences (CVPR, ICCV, ECCV, NeurIPS, ICLR, ICML, etc).</div></li><li><div>Prior experience building <strong>foundation or end-to-end driving models</strong>, or <strong>LLM</strong><strong>/VLM architectures</strong> (e.g., ViT, Flamingo, BEVFormer, RT-2, or GRPO-style policies).</div></li><li><div>Knowledge of <strong>RLHF/DPO/GRPO</strong>, <strong>trajectory prediction</strong>, or <strong>policy learning</strong> for control tasks.</div></li><li><div>Familiarity with <strong>distributed training</strong> (DDP, FSDP) and large-batch optimization.</div></li></ul><strong>What We Offer</strong><ul><li><div>A collaborative, research-driven environment with access to <strong>massive real-world data</strong> and <strong>industry-scale compute</strong>.</div></li><li><div>Opportunity to work with <strong>top-tier researchers and engineers</strong> advancing the frontier of foundation models for autonomous driving.</div></li><li><div>Direct impact on the next generation of <strong>intelligent mobility systems</strong>.</div></li><li><div>Comprehensive benefits, meals, and team-building activities.</div></li></ul></div></div><div><strong>What do we provide:</strong></div><ul><li><div>A fun, supportive and engaging environment</div></li><li><div>Infrastructures and computational resources to support your work.</div></li><li><div>Opportunity to work on cutting edge technologies with the top talents in the field.</div></li><li><div>Opportunity to make significant impact on the transportation revolution by the means of advancing autonomous driving</div></li><li><div>Competitive compensation package</div></li><li><div>Snacks, lunches, dinners, and fun activities</div></li></ul><div>&nbsp;</div><div>We are an Equal Opportunity Employer. It is our policy to provide equal employment opportunities to all qualified persons without regard to race, age, color, sex, sexual orientation, religion, national origin, disability, veteran status or marital status or any other prescribed category set forth in federal or state regulations.</div></div></div></div></div>

Research Scientist Intern

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Xpeng Motors

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