Minimum Qualifications
* Bachelor’s degree or equivalent practical experience.
* 2 years of experience with developing large-scale infrastructure, distributed systems or networks, or experience with compute technologies, storage or hardware architecture.
* 2 years of experience with software development in one or more programming languages, or 1 year of experience with an advanced degree.
Preferred Qualifications
* Master's degree or PhD in Computer Science or related technical fields.
* 2 years of experience with data structures and algorithms.
* Experience developing accessible technologies.
* Familiarity with mobile app development, machine learning, AI platform.
About The Job
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. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will 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. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.
The Health mission is to empower people to live longer and healthier lives. We strive to drive meaningful behavioral change that could save millions of lives and extend the quality of life for millions of people around the world. With Personal AI, we can shift health care from being episodic, reactive, and generic to continuous, proactive, and personal, and empower individuals to make behavioral changes in their activity, sleep, nutrition, and mindfulness to drive better physiological outcomes (heart, metabolic, mental health, etc.).
The Platforms and Devices team encompasses Google's various computing software platforms across environments (desktop, mobile, applications), as well as our first party devices and services that combine the best of Google AI, software, and hardware. Teams across this area research, design, and develop new technologies to make our user's interaction with computing faster and more seamless, building innovative experiences for our users around the world.
Responsibilities
* Build machine learning infrastructure for large-scale model training and evaluation.
* Participate in, or lead design reviews with peers and stakeholders to decide amongst available technologies.
* Review code developed by other developers and provide feedback to ensure best practices (e.g., style guidelines, checking code in, accuracy, testability, and efficiency).
* Re-design the platform for Gemini for Home.
* 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.
Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.
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