Software Engineer, Storage Technologies
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Minimum qualifications:
- Bachelor's degree in Computer Science, a related technical field, or equivalent practical experience.
- 5 years of experience in system software development (e.g., firmware, BIOS, BSP, Linux kernel, BMC, device drivers, and system libraries).
- Experience in Unix/Linux environments.
- Experience coding in C/C++.
Preferred qualifications:
- Master's degree or PhD in Computer Science, or a related technical field.
- Experience in Solid-State Drive (SSD)/NAND or Hard Disk Drive (HDD) based storage technologies, interfaces (e.g., NVMe, SATA/SAS), and security standards (TCG).
- Experience in developer operations, release management, integration testing, and open source development.
- Experience in storage software stack with Linux or firmware in storage controllers (e.g., RAID/AFA/NAS).
- Experience in large-scale and secure fleet management of servers and components.
- Experience in Python and scripting languages (e.g., shell).
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.
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
- Design and implement the system software for storage systems to maximize the performance, reliability, security, and capacity.
- Create and implement tools for automating diagnostics, performance evaluation, and reliability assurance for storage components and systems.
- Develop and implement solutions for collecting and analyzing metrics for storage products in the cloud infrastructure to derive actionable insights.
- Collaborate with internal and external partners to plan and execute the engineering programs, including product development and productivity improvements.
- Contribute innovative ideas and skills to the team.
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