Soma Capital Portfolio Jobs

AI Hardware Engineer



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Software Engineering, Other Engineering, Data Science
Posted on Wednesday, January 24, 2024
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We are seeking a highly skilled and innovative Embedded Hardware Design Engineer with expertise in Language Models to join our dynamic team. The ideal candidate will play a key role in the development of cutting-edge wearable devices that seamlessly integrate with Large Language Models (LLMs) to provide users with an immersive and hands-free AI experience.


  • 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


  • 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


In addition to a market competitive compensation, we have a reward philosophy that expand beyond this.

  • Fully remote with office optional. You decide when you would like to work from home and when from the office
  • Flexible timings. You decide your work scheduled
  • Market competitive compensation (in $$)
  • Insane learning and growth

This job is no longer accepting applications

See open jobs at Remotebase.