connectivity software engineer.

关于公司科技关于团队IT关于职位1.参与AI相关项目的研发工作，包括但不限于数据收集、数据清洗、特征工程、模型训练、模型评估和模型部署等环节。2.协助进行机器学习/深度学习算法的调研、实现和优化。3. 参与构建和维护AI模型训练和评估的平台和工具。4. 参与撰写相关的技术文档和研究报告。5. 与团队成员紧密合作，共同解决技术难题。6.学习和掌握最新的AI技术和进展。7. 根据项目需求，完成导师分配的其他相关工作。技能和经验要求1.计算机科学、软件工程、人工智能、机器学习、数学、统计学或相关专业的本科或硕士在读生。2.熟悉至少一种编程语言，包括但不限于Python、Java、C++等，有实际项目经验者优先。3.对机器学习、深度学习的基本概念和常用算法有一定的了解，例如：线性回归、逻辑回归、决策树、神经网络、卷积神经网络（CNN）、循环神经网络（RNN）等。4. 熟悉至少一种深度学习框架，例如：TensorFlow、PyTorch、Keras等。5.具备良好的数据分析和处理能力，熟悉常用的数据处理和分析工具6.

Responsibilities:Design, implement, and customize DSP audio algorithm features in automotive amplifier based on application requirements.Support Asia based customers on software issue reporting, requirement clarification, release schedule and production trouble shooting. Schedule and deliver the software release to customer on time with quality.Serve as first line of defense for software related production issues.Follow automotive software best practice an

Key Responsibilities:Design, implement and deploy embedded software for new products that include technologies like Bluetooth, Active Noise Reduction, and mobile app interfaces.Design modular software that is maintainable, scalable, and reusable across company’s product line.Analyze complex technical problems and propose design of comprehensive solutions.Contribute to all phases of the product software lifecycle, including requirements analysis, design, im