<div><div><div><div><span><span><strong>XPENG</strong> is a leading smart technology company at the forefront of innovation, integrating advanced </span><span>AI</span><span> and autonomous driving technologies into its vehicles, including electric vehicles (EVs), electric vertical take-off and landing (</span><span>eVTOL</span><span>) 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, </span><span>machine learning</span><span>, and smart connectivity.</span></span></div><div><div><div> </div><div><strong>We are seeking a passionate and skilled </strong><strong>Computer Vision</strong><strong> </strong><strong>Engineer</strong><strong> to design and implement cutting-edge computer vision systems.</strong> Your work will focus on in-cabin scenarios, including, but not limited to: detection and classification of occupants and objects, understanding and analyzing human actions and behaviors, and perceiving in-cabin ambience.</div><strong>Key Responsibilities</strong><ul><li>Design multimodal (image/video/text) models using state-of-the-art machine learning and neural network algorithms.</li><li>Create and curate training datasets; iteratively refine data based on model performance and project requirements.</li><li>Implement and optimize distributed training frameworks to accelerate model development.</li><li>Collaborate with deployment teams to enable efficient edge and on-device model deployment.</li><li>Stay current with academic research and integrate novel algorithms into production workflows.</li><li>Coordinate cross-functional efforts across teams and departments.</li></ul><strong>Minimum Requirements</strong><ul><li><div>Master’s or Ph.D. in Computer Science or a related field, with strong expertise in computer vision and machine learning. <strong>Open to new graduates.</strong></div></li><li><div>Hands-on experience in model development (CV/VL models) and algorithm optimization.</div></li><li><div>Proficiency in PyTorch or TensorFlow, and experience with data preprocessing techniques.</div></li><li><div>Strong collaboration and communication skills.</div></li><li><div>Ability to read, interpret, and implement research papers effectively.</div></li></ul><strong>Preferred Qualifications</strong><ul><li><div>Experience coordinating across multiple teams.</div></li><li><div>Familiarity with large-scale model pretraining, quantization, or distributed training.</div></li><li><div>Publications in top-tier conferences (e.g., CVPR, ICCV, NeurIPS) or contributions to open-source projects.</div></li><li><div>Experience with edge device deployment or applications in autonomous driving.</div></li></ul></div></div><div> </div><div>The base salary range for this full-time position is $174,720 - $295,680 in addition to bonus, equity and benefits. Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training.</div><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>

<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>

Senior Computer Vision Engineer - vLLM

<div><div><div><div><span><span><strong>XPENG</strong> is a leading smart technology company at the forefront of innovation, integrating advanced </span><span>AI</span><span> and autonomous driving technologies into its vehicles, including electric vehicles (EVs), electric vertical take-off and landing (</span><span>eVTOL</span><span>) 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, </span><span>machine learning</span><span>, and smart connectivity.</span></span></div><div><div><div>&nbsp;</div><div><strong>We are seeking a passionate and skilled </strong><strong>Computer Vision</strong><strong> </strong><strong>Engineer</strong><strong> to design and implement cutting-edge computer vision systems.</strong> Your work will focus on in-cabin scenarios, including, but not limited to: detection and classification of occupants and objects, understanding and analyzing human actions and behaviors, and perceiving in-cabin ambience.</div><strong>Key Responsibilities</strong><ul><li>Design multimodal (image/video/text) models using state-of-the-art machine learning and neural network algorithms.</li><li>Create and curate training datasets; iteratively refine data based on model performance and project requirements.</li><li>Implement and optimize distributed training frameworks to accelerate model development.</li><li>Collaborate with deployment teams to enable efficient edge and on-device model deployment.</li><li>Stay current with academic research and integrate novel algorithms into production workflows.</li><li>Coordinate cross-functional efforts across teams and departments.</li></ul><strong>Minimum Requirements</strong><ul><li><div>Master’s or Ph.D. in Computer Science or a related field, with strong expertise in computer vision and machine learning. <strong>Open to new graduates.</strong></div></li><li><div>Hands-on experience in model development (CV/VL models) and algorithm optimization.</div></li><li><div>Proficiency in PyTorch or TensorFlow, and experience with data preprocessing techniques.</div></li><li><div>Strong collaboration and communication skills.</div></li><li><div>Ability to read, interpret, and implement research papers effectively.</div></li></ul><strong>Preferred Qualifications</strong><ul><li><div>Experience coordinating across multiple teams.</div></li><li><div>Familiarity with large-scale model pretraining, quantization, or distributed training.</div></li><li><div>Publications in top-tier conferences (e.g., CVPR, ICCV, NeurIPS) or contributions to open-source projects.</div></li><li><div>Experience with edge device deployment or applications in autonomous driving.</div></li></ul></div></div><div>&nbsp;</div><div>The base salary range for this full-time position is $174,720 - $295,680 in addition to bonus, equity and benefits. Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training.</div><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>

Senior Computer Vision Engineer - vLLM

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About the Company

Xpeng Motors

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