Minimum qualifications:- Bachelor's degree or equivalent practical experience.
- 8 years of experience programming in C , Java, Python, Kotlin or Go.
- 5 years of experience testing, and launching software products.
- 3 years of experience with software design and architecture.
- Experience with Apache Beam.
Preferred qualifications:- Master's degree or PhD in Engineering, Computer Science, or a related technical field.
- 8 years of experience with data structures/algorithms.
- 3 years of experience in a technical leadership role leading project teams and setting technical direction.
- 3 years of experience working in a complex, matrixed organization involving cross-functional, or cross-business projects.
- Experience working with Healthcare AI.
About the jobAs a software engineer on the research infrastructure team, you will build and maintain the infrastructure that powers cutting edge health research, which leads to products relied on by millions of people in their daily lives.
We are a highly collaborative team. You will work closely with engineers across several sites, including London, Los Angeles, Seattle, and Bengaluru.
On this team, you will be an active participant in our planning process. You will deeply understand the "why" behind your work and its impact on our users, contribute your own ideas to shape our technical direction, and ensure your contributions align with our broader strategy and business goals.
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.
Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
US: $207000 - $300000 (USD) 20% bonus target equity benefits
Learn more about benefits at Google .
Responsibilities - Design infrastructure for scalable usage of collected research data, adding functionality and features needed by research teams.
- Investigate new ML tools and agent platforms to be supported by the infrastructure team, designing APIs or standard processing necessary to use those tools while meeting compliance requirements.
- Build state-of-the-art data processing pipelines that power research usage for people and their agents.
- Identify points of researcher friction and remove red tape.
- Improve and maintain our infrastructure for smooth operation and minimal toil.
