AI Expert 汽车AI方向（物理AI，车载AI，大模型）

We are seeking a highly skilled and innovative AI Expert to join our team and play a key role in advancing AI-driven Testing, Inspection and Certification (TIC) services in the automotive industry. This role will focus on developing and implementing cutting-edge AI solutions for vehicle testing, inspection and certification, while working closely with OEMs, suppliers and relevant stakeholders to evaluate AI technologies and ensure compliance with industry standards and regulations.

我们正在寻找一位具备深厚专业能力和创新精神的 AI专家 加入团队，推动汽车行业AI驱动的测试、检验与认证（TIC）服务发展。该岗位将重点负责开发和实施应用于车辆测试、检验和认证的前沿AI解决方案，并与整车厂、供应商及相关方紧密合作，评估AI技术并确保其符合行业标准和法规要求。

This position is critical to our mission of becoming a leading provider of AI-driven TIC services in the automotive sector, helping clients improve innovation, efficiency and productivity.

该职位对于公司成为汽车领域AI驱动TIC服务领先供应商具有重要意义，将帮助客户提升创新能力、运营效率和生产力。

Job Description | 工作职责

• AI Solutions Development for Automotive Testing and Certification Services | 汽车测试与认证服务AI解决方案开发
• Design and implement AI-driven solutions to enhance vehicle testing and certification processes. 设计并实施AI驱动的解决方案，以提升车辆测试和认证流程。
• Develop innovative AI service portfolios based on existing testing and certification services to improve efficiency, accuracy and scalability. 基于现有测试和认证服务，开发创新型AI服务组合，以提升效率、准确性和可扩展性。
• Collaborate with cross-functional teams to integrate AI technologies into current service offerings. 与跨职能团队合作，将AI技术整合到现有服务产品中。
• AI Testing and Certification Services for the Automotive Industry | 汽车行业AI测试与认证服务
• Monitor and interpret AI-related laws, regulations and testing standards in the automotive industry. 跟踪并解读汽车行业AI相关法律法规及测试标准。
• Translate certification requirements and testing methods outlined in relevant standards into technically feasible laboratory solutions. 将相关标准中的认证要求和测试方法转化为实验室可实施的技术方案。
• Develop customer-facing services based on these solutions, ensuring compliance with industry and regulatory requirements. 基于上述方案开发面向客户的服务，确保符合行业及法规要求。
• Customized Testing and Validation | 定制化测试与验证
• Design and validate customized testing schemes tailored to specific customer requirements. 根据客户具体需求设计并验证定制化测试方案。
• Perform functional and performance testing of AI hardware and software according to industry or enterprise standards. 按照行业标准或企业标准，对AI硬件和软件进行功能及性能测试。
• Conduct scenario-based testing, including edge case analysis, to ensure the safety, reliability and robustness of AI systems in vehicles. 开展基于场景的测试，包括边界场景分析，以确保车辆AI系统的安全性、可靠性和鲁棒性。
• Collaboration and Innovation | 协作与创新
• Work closely with OEMs, suppliers and regulatory bodies to understand their needs and provide tailored AI TIC services. 与整车厂、供应商及监管机构紧密合作，了解其需求并提供定制化AI TIC服务。
• Stay updated on advancements in AI technologies and their applications in the automotive industry. 持续关注AI技术发展及其在汽车行业中的应用。
• Identify opportunities to innovate and expand the company’s AI service offerings to create value for customers. 识别创新机会，拓展公司的AI服务产品，为客户创造价值。
• Technical Leadership and Knowledge Sharing | 技术引领与知识分享
• Provide technical guidance and expertise to internal teams and stakeholders. 为内部团队及相关方提供技术指导和专业支持。
• Develop training materials and conduct workshops to enhance the organization’s AI capabilities. 开发培训材料并组织工作坊，提升组织内部AI能力。
• Represent the company at industry events, conferences and forums to showcase AI TIC services and establish thought leadership. 代表公司参加行业活动、会议和论坛，展示AI TIC服务能力并建立行业思想领导力。

• Education Background | 教育背景
• Master’s degree or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, Data Science, Automotive Engineering or a related field. 计算机科学、人工智能、机器学习、数据科学、汽车工程或相关专业硕士及以上学历，博士优先。
• Technical Qualifications | 专业技能要求
• Proficient in machine learning, neural network algorithms, deep learning frameworks such as TensorFlow and PyTorch, data training and data analysis. 精通机器学习、神经网络算法、深度学习框架（如 TensorFlow、PyTorch）、数据训练及数据分析。
• Skilled in programming languages such as Python, R or MATLAB. 熟练掌握 Python、R 或 MATLAB 等编程语言。
• Good knowledge of automotive systems, including Advanced Driver Assistance Systems (ADAS), Autonomous Driving Systems (ADS), and vehicle Electrical/Electronic (E/E) architecture. 熟悉汽车系统，包括高级驾驶辅助系统（ADAS）、自动驾驶系统（ADS）及车辆电子电气架构（E/E架构）。
• Knowledge of AI-related standards and regulations in the automotive industry, such as ISO 26262, ISO/PAS 21448 and UNECE WP.29. 熟悉汽车行业AI相关标准和法规，如 ISO 26262、ISO/PAS 21448 和 UNECE WP.29 等。
• Experience with simulation tools such as CARLA, PreScan and virtual testing. 具备使用 CARLA、PreScan 等仿真工具及虚拟测试的经验。
• Knowledge of automotive cybersecurity standards, functional safety standards and AI-related safety standards, such as ISO/SAE 21434, ISO 26262, ISO 21448 and ISO/PAS 8800. 熟悉汽车网络安全标准、功能安全标准及AI相关安全标准，如 ISO/SAE 21434、ISO 26262、ISO 21448 和 ISO/PAS 8800 等。
• Candidates with experience in data/AI-driven ADAS, autonomous driving development, large-scale virtual testing and cloud technologies are preferred. 具备数据/AI驱动的ADAS、自动驾驶开发、大规模虚拟测试及云技术经验者优先。
• Required Experience | 工作经验要求
• Minimum 5 years of experience in large-scale simulation or virtual validation of complex ADAS/autonomous driving systems. 至少5年复杂ADAS/自动驾驶系统大规模仿真或虚拟验证相关经验。
• Proven track record of working with OEMs, Tier 1 suppliers, AD-stack providers or automotive technology companies. 具有与整车厂、一级供应商、自动驾驶技术栈供应商或汽车科技公司合作的成功经验。
• Experience in designing and implementing AI-based solutions for vehicle testing, inspection or certification. 具备设计并实施车辆测试、检验或认证相关AI解决方案的经验。
• Hands-on experience with functional and performance testing of AI hardware and software. 具备AI硬件和软件功能及性能测试的实际操作经验。
• Demonstrated ability to interpret and apply AI-related laws, regulations and standards to develop testing and certification solutions. 具备解读并应用AI相关法律法规和标准、开发测试与认证解决方案的能力。
• Soft Skills | 软性能力
• Strong analytical thinking, problem-solving capability and innovation mindset. 具备较强的分析思维、问题解决能力和创新意识。
• Excellent communication and collaboration skills, with the ability to work effectively with cross-functional and international teams. 具备优秀的沟通与协作能力，能够与跨职能及国际化团队高效合作。
• Strong customer orientation and ability to translate technical capabilities into customer-facing services. 具备良好的客户导向，能够将技术能力转化为面向客户的服务方案。
• Ability to work independently, manage complex projects and drive results. 能够独立工作，管理复杂项目并推动结果达成。