About Google
Learn more about Google. Explore our innovative AI products and services, and how we. Backed by Kleiner Perkins.
About the role
Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. Found on 1752vc Careers, the job board for startup and VC roles.
What they're looking for
- Bachelor’s degree or equivalent practical experience
- 5 years of experience with software development in one or more programming languages
- 3 years of experience testing, maintaining, or launching software products, and 1 year of experience with software design and architecture
- 3 years of experience with end-to-end Machine Learning (e.g., model deployment, model evaluation, data processing, debugging)
More about this role
- Write and test product or system development code.
- Triage product or system issues and debug/track/resolve by analyzing the sources of issues and the impact on hardware, network, or service operations and quality.
- Develop LiteRT, Google's on-device AI framework for 1P and 3P, enabling SOTA hardware acceleration and use cases on edge platforms
- Enable on-device deployment of key models, such as Gemini Nano and Gemma, across various accelerators (GPU / Pixel TPU / NPUs / CPU) on Android, Chrome, and more.
- Improve performance of on-device model inference via optimizations in the model conversion, on-device runtime and kernel implementation.
- Bachelor’s degree or equivalent practical experience.
- 5 years of experience with software development in one or more programming languages.
- 3 years of experience testing, maintaining, or launching software products, and 1 year of experience with software design and architecture.
- 3 years of experience with one or more of the following: Speech/audio (e.g., technology duplicating and responding to the human voice), reinforcement learning (e.g., sequential decision making), ML infrastructure, or specialization in another ML field.
- 3...
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