Platforms Infrastructure Engineering (PIE) at Google is looking to increase availability, reduce risk to production traffic, and more efficiently operate ML hardware over its lifecycle, to enable the next generation of Google's ML/Supercomputer infrastructure.
Requirements
- 2 years of experience with software development in one or more programming languages, or 1 year of experience with an advanced degree in an industry setting.
- 2 years of experience coding in C++.
- 1 year of experience working with SQL.
- 1 year of experience with distributed processing.
- 2 years of experience working with SQL Pipelines.
- 2 years of experience working with scripts.
Responsibilities
- Work on projects critical to Google’s needs, being versatile and independent, implement solutions to problems across the whole repair stack.
- Acquire domain knowledge about networking devices, new network topologies (how they fail, what the blast radii are), and apply this knowledge to improve the availability of the fleet at the scale of Google.
- Manage project priorities, deadlines, and deliverables. Design, develop, test, deploy, maintain, and enhance software solutions.
- Collaborate with internal and external partner teams to plan and execute the engineering programs.
- Improve the quality of engineering work in the team, bringing up and contributing quality-of-life improvements to our tech stack.
Other
- Bachelor’s degree or equivalent practical experience.
- Master's degree or PhD in Computer Science or a related technical field.
- Ability to work in the US (due to base salary range mention)
- Must be willing to complete Accommodations for Applicants form if needed
