Minimum qualifications:

Bachelor’s degree or equivalent practical experience.
2 years of experience with software development in one or more programming languages, or 1 year of experience with an advanced degree.
2 years of experience with data structures or algorithms.
Experience coding in C/C++, Java, Python, or Go.

Preferred qualifications:

Master's degree or PhD in Computer Science or related technical field.
Experience with numerical analytics and modeling problems.
Experience developing accessible technologies.
Experience with SQL querying tools.
Experience with streaming systems.
Experience with data analysis and visualization framework (Pandas, Numpy, ggplot, D3) in Python, R, Javascript.

About the job

As a Software Engineer lll, you will build tools and infrastructure to provide insights into streaming quality for both internal developers and external partners. You will build an interpretable set of objective metrics for interactive streaming quality in collaboration with Google Machine Learning teams. You will have an opportunity to innovate and have a meaningful impact on both the quality of Stadia’s industry leading core streaming tech, and the development velocity of Google's external partners.

Stadia is Google’s premier Video Game platform, designed for everyone. We are working on custom built hardware and rapidly evolving open source technology to deliver a seamless gaming experience across multiple devices. Stadia provides players new ways to discover, engage, and connect with content with no download required thanks to our cutting-edge data centers. Our team members are building the tools that will push game development to new levels, reducing the barrier to entry and bringing gaming to everyone. Through the power of Stadia, there is unlimited possibility.

Responsibilities

Build tools and infrastructure to provide insights into streaming quality for both internal developers and external partners.
Build an interpretable set of objective metrics for interactive streaming quality in collaboration with Google Machine Learning teams.

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.