Software Engineer III, AI/ML, Google Cloud Storage
GoogleAbout the role
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 on the Storage Intelligence Agents team, 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.
The US base salary range for this full-time position is $141,000-$202,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.
Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google.
The US base salary range for this full-time position is $141,000-$202,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.
Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google.
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
Apply for this role
Generate a tailored application kit with a matched cover letter, interview prep, and CV highlights — in under 60 seconds.
Apply Now →Generate Application KitFree account required — sign up in 30s