Staff Software Engineer, Linux-based OS
Job Summary
Job Description
- 8+ years software development (C/C++), data structures/algorithms
- 5+ years testing & launching software products
- 3+ years software design & architecture, infrastructure systems
- Linux development experience
- Lead NodeOS capabilities development and extension
- Master's/PhD in relevant field
- Technical leadership experience
- Experience in complex organizations
- Concurrency, multithreading, distributed systems
- Linux kernel development
8 skills required
Job Details
Minimum qualifications:
- Bachelor's degree or equivalent practical experience.
- 8 years of experience in software development including but not limited to C or C++, and experience with data structures/algorithms.
- 5 years of experience testing, and launching software products, and 3 years of experience with software design and architecture.
- 3 years of experience developing infrastructure systems, system software, or operating systems.
- Experience with Linux development.
Preferred qualifications:
- Master’s degree or PhD in Engineering, Computer Science, or a related technical field.
- 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 in concurrency, multithreading and synchronization, or distributed systems programming.
- Experience as a Technical Lead.
- Experience in Linux kernel development.
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.
Google uses a customized Linux-based operating system called NodeOS, engineered to meet the specific scale, transparency, and performance requirements of its compute infrastructure.
In this role, you will be responsible for critical parts of the operating system running all services at Google. You will work with both upstream Linux packages, as well as home-brew Google solutions.
The ML, Systems, & Cloud AI (MSCA) organization at Google designs, implements, and manages the hardware, software, machine learning, and systems infrastructure for all Google services (Search, YouTube, etc.) and Google Cloud. Our end users are Googlers, Cloud customers and the billions of people who use Google services around the world.
We prioritize security, efficiency, and reliability across everything we do - from developing our latest TPUs to running a global network, while driving towards shaping the future of hyperscale computing. Our global impact spans software and hardware, including Google Cloud’s Vertex AI, the leading AI platform for bringing Gemini models to enterprise customers.
Responsibilities
- Provide leadership in analyzing, auditing, and evolving the overall Node execution model at the OS level to be able to drive build out of a Cloud-empowering Node.
- Lead the development and extension of cornerstone NodeOS capabilities, including engineering into open-source aspects and Google-specific daemons.
- Analyze, design, implement, automate rollouts, and troubleshoot large-scale computer systems.
- Redesign and refactor existing systems to improve performance and parallelism.
- Improve existing and create new integration and canary tests, monitoring, and metrics.
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