Senior Software Engineer, Google Cloud Storage, AI/ML
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Minimum qualifications:
- Bachelor’s degree or equivalent practical experience.
- 5 years of experience with software development in one or more programming languages.
- 3 years of experience testing, maintaining, or launching software products, and 1 year of experience with software design and architecture.
Preferred qualifications:
- Master's degree or PhD in Computer Science or related technical field.
- 5 years of experience with data structures and algorithms.
- 1 year of experience in a technical leadership role.
- Experience with file systems and Linux kernel internals.
- Experience with AI/ML workloads.
- Familiarity with cloud computing platforms (e.g., Google Cloud Platform, Cloud Computing Platform).
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 manage information at a 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.As a part of the Storage AI/ML organization, you will build the AI/ML specialized storage infrastructure that supports Google Cloud’s most significant business priorities. You will focus on developing high-scale systems designed to meet the emerging requirements of AI and Machine Learning workloads.
As part of a new incubation in Tel Aviv, this team serves as a specialized unit dedicated to exploring and developing new solutions within the AI/ML storage infrastructure and ecosystem. Your goal is to bridge foundational storage technologies like GCS, Rapid and Lustre with emerging AI/ML workload needs, operating as a small, focused team to establish technical excellence and provide high value for this critical business pillar.Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.
Responsibilities
- Write and test product or system development code.
- Participate in, or lead design reviews with peers and stakeholders to decide amongst available technologies.
- Review code developed by other developers and provide feedback to ensure best practices (e.g., style guidelines, checking code in, accuracy, testability, and efficiency).
- Contribute to existing documentation or educational content and adapt content based on product/program updates and user feedback.
- Triage product or system issues and debug/track/resolve by analyzing the sources of issues and the impact on hardware, network, or service operations and quality.
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