Responsibilities:

📍Collaborate with cross-functional teams to define hardware requirements and specifications for the integration of Large Language Models into wearable devices. 📍Design and develop embedded systems that connect to LLMs, ensuring efficient and reliable operation. 📍Implement multimodal capabilities, including audio input/output, within the wearable device to enhance user interaction with the LLM. 📍Conduct thorough testing and validation of the hardware components to ensure seamless connectivity and optimal performance. 📍Work closely with software engineers to integrate LLMs into the embedded systems, ensuring synchronization and efficiency. 📍Stay abreast of the latest developments in language models, hardware design, and AI technologies to propose innovative solutions. 📍Troubleshoot hardware and connectivity issues, providing timely resolutions to ensure a smooth user experience. 📍Collaborate with UX/UI designers to ensure a user-friendly and aesthetically pleasing design for the wearable AI device. 📍Document all aspects of the hardware design and integration process for reference and future enhancements.

Requirements

📍Bachelor's or Master's degree in Electrical Engineering, Computer Engineering, or a related field. 📍Proven experience in embedded hardware design, with a focus on wearable devices. 📍Strong expertise in developing systems that connect to and utilize Large Language Models. 📍Proficiency in implementing multimodal capabilities, such as audio input/output. 📍Familiarity with AI technologies and experience working with language models, particularly those related to natural language processing. 📍Solid understanding of hardware-software integration and collaboration with software development teams. 📍Excellent problem-solving skills and the ability to troubleshoot complex hardware and connectivity issues. 📍Strong communication skills and the ability to work effectively in a collaborative team environment.