Staff Software Engineer, ChromeOS Developer AI Full-time

Minimum qualifications:

• Bachelor’s degree in Electrical Engineering, Computer Science, with an emphasis on ML/AI, a relevant technical field, or equivalent practical experience.
• 8 years of experience with software development in one or more programming languages (e.g., Python, C, C , Java, JavaScript).

Preferred qualifications:

• Experience in performance engineering, embedded software, or hardware acceleration of ML and graphics.
• Experience with Android system.
• Good understanding of developer ecosystems, product development, and customer needs.
• Exceptional analytical and problem-solving skills to take on complex AI/ML challenges.
• Track record of deploying AI/ML models and algorithms.

About the job

As a Staff Software Engineer, you will shape the future of intelligent devices. You will work on the forefront of innovation, fostering developer ecosystems for emerging AI capabilities, leveraging on-device models and empowering AI developers in education space.

ChromeOS is a modern OS where we’ve re-imagined every feature from the ground up to be smarter, speedier, and more secure. It offers the best of Google through tight integration with the Chrome Browser, Android and Google Play Store, existing and emerging AI functionalities.

Chrome OS delivers quality computing at scale to provide universal and unfettered access to information, entertainment, and tools. Our mission is to empower anyone to create and access information freely through fast, secure, simple, and intelligent computing.

Responsibilities

• Collaborate with ChromeOS machine intelligence and On-Device Machine Learning (ODML) teams on delivering on-device models for Android large screen and desktop.
• Take full ownership of enabling AI capabilities for ChromeOS App developers.
• Transform education by enabling App developers with AI capabilities customized to the specific education needs.
• Work with cross-functional teams including software developers, machine learning research scientists, product managers, and UX designers to understand their needs and pain points.
• Stay up-to-date with the latest advancements in AI/ML technologies, frameworks, and tools. Evaluate potential impact and relevance to developer productivity.