Software Engineer III, AI/ML, Google Cloud Storage

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

In accordance with Washington state law, we are highlighting our comprehensive benefits package, which is available to all eligible US based employees. Benefits for this role include:

• Health, dental, vision, life, disability insurance
• Retirement Benefits: 401(k) with company match
• Paid Time Off: 20 days of vacation per year, accruing at a rate of 6.15 hours per pay period for the first five years of employment
• Sick Time: 40 hours/year (increased to 69 hours/year for Seattle) including 5 discretionary sick days per instance
• Maternity Leave (Short-Term Disability + Baby Bonding): 28-30 weeks
• Baby Bonding Leave: 18 weeks
• Holidays: 13 paid days per year

In most instances, this position requires in-person interviews as part of the hiring process.

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.

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 Cloud Storage (GCS) builds a planet-scale distributed storage system that manages exabytes of data for global enterprises, startups, and Google's core services (like Drive, Gmail, and YouTube).

As a Software Engineer, you will drive the GCS Autonomous Storage Management charter by building Agentic AI solutions. Collaborating closely with Product Managers and Technical Leads, you will design and build the core architecture of AI products that efficiently manage billions of cloud objects, ensuring a seamless, highly accurate, and reliable experience for cloud operators.

Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting‑edge 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.Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

US: $147000 - $210000 (USD) + 15% bonus target + equity + benefits

Responsibilities

Learn more about benefits at Google .

• 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.

Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form .