AI Hardware Engineer

## 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. Apply tot his job