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As an AI ML Engineer, you will develop advanced machine learning algorithms for automotive sensing, write high-quality software in Python and Rust, improve workflows, collaborate with architects on scalable solutions, participate in Agile processes, and contribute to CI/CD platform development while following coding standards and debugging issues.

As an Embedded Software Engineer, you will design, develop, and validate embedded software solutions for automotive applications, implement communication protocols, integrate software with microcontroller architectures, and ensure compliance with automotive standards. Your role includes collaboration with teams to define requirements and lead testing activities using tools like CANalyzer and CANoe.

The Algorithm Engineer will design and develop algorithms for automotive applications such as ADAS and autonomous driving, utilizing mathematical modeling, statistical analysis, and machine learning. Responsibilities include collaborating with teams on algorithm development, optimizing performance, and ensuring compliance with automotive safety standards. Additionally, the role involves managing version control using Git and Jenkins, and implementing CI/CD practices for algorithm deployment.