Senior AI/ML Software Engineer — Cloud Storage AI

Google; Seattle (WA); On-site; USD 147,000 - 210,000; Full time

Benefits offered by this job

401(k) with company match

Paid time off: 20 days/year + 6.15 hrs

Sick time: 40 hrs/year (69 for Seattle

Maternity leave: 28–30 weeks

Baby Bonding Leave: 18 weeks

Holidays: 13 paid days

Job summary

Google is seeking Software Engineers to help build the next generation of Google Cloud Storage. You will write product or system development code and work with cross-functional teams to review designs, ensure best practices, and improve documentation.

You’ll triage issues, analyze impacts on hardware and networks, and design AI-driven storage management solutions to advance GenAI accuracy. Successful candidates will contribute to a planet-scale distributed storage system and collaborate with

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).

Responsibilities

• 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.

Skills

AI/ML systems

Generative AI

Distributed infrastructure

Large-scale systems

Education

Bachelor’s degree or equivalent practical experience

Master’s degree or PhD in Computer Science or related field

Tools

Google technologies and platforms

Compute technologies / cloud storage

Job description

Google is seeking Software Engineers to help build the next generation of Google Cloud Storage. You will write product or system development code and work with cross-functional teams to review designs, ensure best practices, and improve documentation.

You’ll triage issues, analyze impacts on hardware and networks, and design AI-driven storage management solutions to advance GenAI accuracy. Successful candidates will contribute to a planet-scale distributed storage system and collaborate with