Software Engineer, Gemini Wearables, DeepMind
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Minimum qualifications:
- Bachelor’s degree or equivalent practical experience.
- 2 years of experience with full stack development, across back-end such as Java, Kotlin and Android development.
- 2 years of experience with API design and protocol buffers.
- Experience working on wearable devices.
Preferred qualifications:
- Master's degree or PhD in Computer Science or related technical fields.
- Experience integrating Text-to-Speech (TTS) services or handling audio processing within an application.
- Experience implementing and integrating Large Language Models (LLMs) or Generative AI APIs into consumer-facing applications.
- A demonstrated track record of utilizing AI tools to enhance software development workflows.
About the job
The Gemini on Watches team empowers people to effortlessly interact with their world through voice, using their wearable devices. Leveraging the transformative power of Large Language Models (LLMs), we create intuitive and helpful experiences that go beyond the expected. We strive to make Gemini on Watches a rock solid, first-class feature on WearOS; equivalent in importance to the touch screen and side button.
Artificial intelligence will be one humanity’s most transformative inventions. At Google DeepMind, we are a pioneering AI lab with exceptional interdisciplinary teams focused on advancing AI development to solve complex global challenges and accelerate high-quality product innovation for billions of users. We use our technologies for widespread public benefit and scientific discovery, ensuring safety and ethics are always our highest priority.
Responsibilities
- Design and build responsive, interactive watch user interfaces optimized for clear LLM response navigation across various watch models, working closely with UI/UX teams.
- Develop and maintain robust backend logic and APIs to process, adapt, and integrate LLM models with contextual services for efficient delivery to resource-constrained wearables.
- Implement multimodal and connected experiences, including accurate text-to-speech functionality for watch displays and the ability to control other connected devices directly from the watch.
- Optimize full-stack performance for fast response times, ensure strict data privacy and security practices, and actively monitor systems to troubleshoot issues and improve the user experience.
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