Staff Software Engineer, AI/ML, Google Distributed Cloud, Storage

Google Inc.; Kirkland (WA); On-site; USD 207,000 - 300,000; Full time

Job summary

Google's AI Storage team within Google Distributed Cloud builds scalable storage systems for AI workloads at the edge and in air-gapped environments. The role focuses on delivering high-throughput, ultra-low-latency data access to keep GPUs and accelerators saturated while ensuring sovereignty and security.

As a Staff Software Engineer, you will own core storage components, collaborate across AI infra, compute, and networking teams, and contribute to a cloud-anywhere storage architecture across

Qualifications

• Bachelor’s degree or equivalent practical experience.
• 8 years of experience in software development.
• 5 years of experience with ML design and ML infrastructure.
• 5 years of experience in systems architecture, including building or maintaining distributed systems or large-scale storage architectures.
• 5 years of experience in systems programming (e.g., C++, Go, or Rust).

Responsibilities

• Design and develop scalable, distributed File and Object storage solutions that serve as the critical foundational backbone for complex AI/ML workloads within the GDC environment.
• Engineer advanced solutions optimized for massive throughput, specifically enabling high-frequency model checkpointing and the ultra-low latency data access required for AI training and inference.
• Drive technical execution with external partners to seamlessly integrate high-performance storage hardware with Google's distributed software ecosystem.
• Take full life-cycle responsibility for core storage services, ensuring security, data durability, and high availability across disconnected edge and on-premises environments.
• Partner with AI infrastructure, compute, and networking teams to architect system-wide improvements and deliver a unified 'cloud-anywhere' experience.

Skills

Software development

ML design & infrastructure

Distributed systems

Systems programming (C++, Go, Rust)

Education

Bachelor's degree or equivalent practical experience

Master’s degree or PhD preferred

Job description

Staff Software Engineer, AI/ML, Google Distributed Cloud, Storage

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corporate_fare Google place Kirkland, WA, USA

Advanced

Experience owning outcomes and decision making, solving ambiguous problems and influencing stakeholders;deep expertise in domain.

• Bachelor’s degree or equivalent practical experience.
• 8 years of experience in software development.
• 5 years of experience with ML design and ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging, fine tuning).
• 5 years of experience in systems architecture, including building or maintaining distributed systems or large-scale storage architectures.
• 5 years of experience in systems programming (e.g., C++, Go, or Rust).

Preferred qualifications:

• Master’s degree or PhD in Engineering, Computer Science, or a related technical field.
• 8 years of experience with data structures and algorithms.
• 3 years of experience in a technical leadership role leading project teams and setting technical direction.
• 3 years of experience working in a complex, matrixed organization involving cross-functional, or cross-business projects.

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.

The AI Storage team within Google Distributed Cloud (GDC) builds the foundational data layer that powers next-generation machine learning and generative AI workloads at the edge and in air-gapped environments. AI models require massive throughput and ultra-low latency; our team tackles the complex challenge of delivering high-performance, massively scalable storage systems directly to customer data centers. We focus on optimizing the data pipeline to keep GPUs and accelerators fully saturated, ensuring that enterprise and public-sector customers can run advanced AI on their most sensitive data without compromising on sovereignty, security, or speed.

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.

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.

The AI Storage team within Google Distributed Cloud (GDC) builds the foundational data layer that powers next-generation machine learning and generative AI workloads at the edge and in air-gapped environments. AI models require massive throughput and ultra-low latency; our team tackles the complex challenge of delivering high-performance, massively scalable storage systems directly to customer data centers. We focus on optimizing the data pipeline to keep GPUs and accelerators fully saturated, ensuring that enterprise and public-sector customers can run advanced AI on their most sensitive data without compromising on sovereignty, security, or speed.

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: $207000 - $300000 (USD) + 20% bonus target + equity + benefits

Learn more about benefits at Google .

• Design and develop scalable, distributed File and Object storage solutions that serve as the critical foundational backbone for complex AI/ML workloads within the GDC environment.
• Engineer advanced solutions optimized for massive throughput, specifically enabling high-frequency model checkpointing and the ultra-low latency data access required for AI training and inference.
• Drive technical execution with external partners (e.g., VAST Data) to seamlessly integrate industry-leading, high-performance storage hardware with Google's distributed software ecosystem.
• Take full life-cycle responsibility for core storage services, ensuring uncompromising security, data durability, and high availability across disconnected edge and on-premises data center environments.
• Partner closely with AI infrastructure, compute, and networking teams to architect system-wide improvements, eliminate Input/Output bottlenecks, and deliver a unified "cloud-anywhere" experience.

Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy , Know your rights: workplace discrimination is illegal , Belonging at Google , and How we hire .

Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.

Equity is granted exclusively and discretionarily by Alphabet Inc. on the basis of an agreement concluded between you and Alphabet Inc. Alphabet Inc. is your sole contractual partner with respect to equity grants. GSU grants are not guaranteed, are discretionary, are subject to approval by the Alphabet Inc. board of directors or its delegate, the terms of the relevant Alphabet Inc. stock plan, and your grant agreement. They have no impact on statutory payments. Current or past grants do not confer an acquired right.