Google's Chrome is looking to improve the on-device performance of Gemini Nano and expand the reach and performance of on-device AI to billions of users. This involves developing new AI advancements, debugging tools, and JavaScript APIs.
Requirements
- 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 machine learning infrastructure, distributed systems or networks, or experience with compute technologies, storage or hardware architecture.
- 5 years of experience with data structures/algorithms.
- 5 years of experience developing in C++.
- Experience in ML performance, large-scale systems data analysis, ML debugging, or LLMs.
- Experience in running AI Inference on-device.
Responsibilities
- Work with C++ language in our Chrome and Chromium codebase.
- Improve the on-device performance of Gemini Nano.
- Develop new debugging tools in DevTools to support the Built-In AI APIs.
- Develop new Built-In AI JavaScript APIs and write the API specifications.
- Tune Large Language Model (LLM) to improve model performance.
- design, develop, test, deploy, maintain, and enhance software solutions.
Other
- Bachelor's degree or equivalent practical experience.
- Master's degree or PhD in Computer Science or related technical field.
- work on a specific project critical to Google’s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve.
- display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.
- The US base salary range for this full-time position is $166,000-$244,000 + bonus + equity + benefits.
- preferred working location from the following: Kirkland, WA, USA; Seattle, WA, USA
