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 software development experience in Python.
Preferred qualifications:
- Master's degree or PhD in Computer Science or a related technical field.
- 2 years of experience with data structures or algorithms.
- Experience developing accessible technologies.
- Experience with language infrastructure in google (e.g., linters, languages, build rules).
- Previous exposure to Python internals like CPython and type checkers such as pytype or mypy.
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.
Software Foundations helps Googlers to be productive in their day-to-day development, providing tools, services and support for key programming languages used throughout Google.
In this role, you will help developers to be more productive by improving build speed, smoothing out integrations with other components and automating tools and processes in the era of agentic AI.
Responsibilities
- Support researchers and developers throughout the whole ML development life-cycle, enabling them to develop and iterate quickly, build performance and applications.
- Interact with fundamental production technologies and tooling support for our Python users.
- Integrate with other systems.
- Work on making Python at Google friction-less. Enable Python users to build, optimize and debug their lines of Python code.
