扒开美女水嫩嫩的小泬的网站视频_亚洲小视频国产毛片_夜夜爽精品视频_仓井空OXXX无码_又黄又爽又色视频_国产内射在线激情一区国产精品亚洲色一色_亚洲日韩精品A∨片无码不卡_国产精品一区二区久久_在线日韩精品中文字幕_好大老师好爽快点深一点漫画,好湿～用力～嗯～c我～视频男男,熟女人妇成熟少妇系列,小早川怜子XXXXAV在线

Responsibilities:

- Design and develop platform-based In-Vehicle Infotainment software, integrate diverse services and applications to provide customers with immersive digital experience.

- Develop Android Framework and Hardware abstract layer software, e.g. Vehicle connectivity (cellular/WiFi), Android OTA, Vehicle System Setting, System User-Interfaced Applications, etc, as well ass, Android-based IVI system applications.

- Develop a comprehensive integration strategy for software solutions with various EE architecture, from distributed to domain and zonal architectures.

- Research and implement advanced AI algorithms, including but not limited to reinforcement learning and deep learning.

- Fine-tune large language models (LLMs) to improve performance in specific application scenarios.

- Master and apply Retrieval-Augmented Generation (RAG) techniques for efficient information retrieval and generation.

- Utilize common edge deployment and inference frameworks to ensure efficient deployment and operation of AI models.

- Collaborate with cross-functional teams to address software requirements, hands-on coding, debug, integration and testing, etc., to ensure the stability and reliability of software projects.

- Optimize software architecture from performance and efficiency perspectives.

- Stay up-to-date with the latest trends and technologies(especially AI) in the software development industry and adopt advanced solutions to Ford products.

- Bachelor’s degree above, major in Software Engineering, EE, Computer science, Artificial Intelligence, Mathematics, or a related field.

- Min. 8 years of software development working experience.

- Strong understanding of software design principles, patterns, and best practices.

- Strong programming skills, familiar with programming languages such as C++, Java, and Python, etc.

- Development experience in various operating systems (Linux, Windows, QNX, etc.), fully capability on coding, unit test, integration test, bugfix and validation, etc.

– Experience of network, deep expertise of Ethernet (Ring) Network, TCP/IP, experience of network function design and development.

- Familiar with common AI inference frameworks for edge deployment, such as QNN, OnnxRuntime, and MNN, and capable of applying these frameworks in real projects for the optimization and deployment of AI models.

- Basic knowledge of Automotive SPICE

- Knowledge of various of hardware architecture and hardware components (e.g., microprocessors, FPGAs, memory systems, bus), and experience with hardware-software integration

- Experience with various software development methodologies, including Agile and Waterfall.

- Strong analytical and problem-solving skills, with the ability to identify and resolve complex technical challenges.

- Excellent communication and interpersonal skills, with the ability to effectively communicate complex technical concepts to both technical and non-technical audiences.

- Ability to work independently and as part of a team, with a strong sense of ownership and responsibility.

- Work experience in automotive field is a plus