Software Engineer III, AI/ML, Google Cloud Storage

• Write product or system development code.
• Collaborate with peers and stakeholders through design and code reviews to ensure best practices amongst available technologies (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.
• Design and build intelligent Storage AI Agents that automate customer storage management tasks, automatically tag data to assist AI researchers, and drive ongoing GenAI accuracy and security improvements.

Minimum qualifications:

• Bachelor’s degree or equivalent practical experience.
• 2 years of experience with software development in one or more programming languages such as C++, Golang, Java, or 1 year of experience with an advanced degree.
• Experience with large-scale distributed infrastructure systems.
• Experience with AI/ML systems in a customer facing production environment.
• Experience in Generative AI (e.g., large language models, multi-modal, model training and evaluation).

Preferred qualifications:

• Master's degree or PhD in Computer Science or related technical fields.
• 2 years of experience with developing large-scale infrastructure, distributed systems or networks, or experience with compute technologies or cloud storage.
• Experience in Google technologies and platforms.
• Experience building high-volume data pipelines and resolving complex system scalability bottlenecks.
• Ability to troubleshoot and mitigate production incidents under strict service level agreements (SLAs) to minimize customer impact.
• Passionate about enterprise products, with a focus on growing our Cloud offerings in the space.

• Bachelor’s degree or equivalent practical experience.
• 2 years of experience with software development in one or more programming languages such as C++, Golang, Java, or 1 year of experience with an advanced degree.
• Experience with large-scale distributed infrastructure systems.
• Experience with AI/ML systems in a customer facing production environment.
• Experience in Generative AI (e.g., large language models, multi-modal, model training and evaluation).