Senior Staff Software Engineer, GKE AI Data

Google; Seattle (WA); On-site; USD 262,000 - 364,000; Full time

Benefits offered by this job

Health Insurance

Retirement benefits (401k)

Paid time off (PTO)

Sick time

Maternity/Parental leave

Holiday pay

Job summary

Google in Seattle, WA is seeking a Senior Staff Software Engineer for GKE AI Data to own the data storage and pipelines powering AI/ML workloads on Kubernetes. You will influence architecture, drive cross-team initiatives, and deliver scalable storage across block, file, and object stores.

You will lead and mentor teams, collaborate with GCP storage teams to align strategy, and contribute to industry standards for storage solutions in AI/ML workflows.

Qualifications

• Bachelor's degree or equivalent practical experience.
• 8 years of experience programming in C++.
• 5 years of experience with design and architecture; and testing/launching software products.

Responsibilities

• Guide the architectural direction for GKE AI Data ensuring a scalable, performant and efficient storage solution for AI-ML workloads running on K8s across block, file and object storage.
• Drive storage solutions for evolving AI/ML issues, including KV Caching, fast model loading, and re-envisioning storage for agentic workloads.
• Partner with multiple storage teams in Google Cloud Platform to drive alignment and clarity around strategy and execution.
• Lead the broader Kubernetes ecosystem and Open Source Software community, driving upstream initiatives to establish industry standards for storage solutions.
• Imagine, architect, and lead the technical execution of industry-defining standards through both direct, technical work and by mentoring and guiding teams of engineers.

Education

Bachelor's degree or equivalent practical experience

Tools

C++

Design & Architecture

Testing & Launching Software

Kubernetes OSS

Cross-functional Influence

Job description

Senior Staff Software Engineer, GKE AI Data

Google
Seattle, WA, USA; Kirkland, WA, USA; +2 more; +1 more

Advanced

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

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

Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Seattle, WA, USA; Kirkland, WA, USA; Sunnyvale, CA, USA.

Minimum qualifications:

• Bachelor's degree or equivalent practical experience.
• 8 years of experience programming in C++.
• 5 years of experience with design and architecture; and testing/launching software products.

Preferred qualifications:

• Deep expertise in AI/ML infrastructure, specifically regarding storage and caching solutions.
• Demonstrated track record of significant technical contributions to the Kubernetes open-source project or related CNCF or PyTorch AI/ML projects.
• Demonstrated track record of influencing cross-functional teams (Product, Engineering, Research) to deliver complex technical outcomes.

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 Kubernetes Engine (GKE) is the industry standard for container orchestration and the core of Google Cloud’s modernization strategy. We are now embarking on a mission to reinvent GKE and Kubernetes as the premier substrate for the next generation of AI-ML workloads. The GKE AI Data organization is a critical, high-growth technical domain core to GKE’s business. The team is deeply involved in building storage solutions and data pipelines for the AI-ML workloads including training, inference, RL and agentic workflows. In this role, you will solve complex storage problems through solutions working at the intersection of K8s (kubernetes), AI-ML and Storage. You will drive the agenda in close collaboration with leads across other storage organizations inside Google and in Open Source.

The Google Cloud AI Research team addresses AI challenges motivated by Google Cloud’s mission of bringing AI to tech, healthcare, finance, retail and many other industries. We work on a range of unique problems focused on research topics that maximize scientific and real-world impact, aiming to push the state-of-the-art in AI and share findings with the broader research community. We also collaborate with product teams to bring innovations to real-world impact that benefits our customers. Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

US: $262000 - $364000 (USD) + 25% bonus target + equity + benefits.

Learn more about benefits at Google.

Responsibilities

• Guide the architectural direction for GKE AI Data ensuring a scalable, performant and efficient storage solution for AI-ML workloads running on K8s across block, file and object storage.
• Drive storage solutions for evolving AI/ML issues, including KV Caching, fast model loading, and re-envisioning storage for agentic workloads (e.g., fast suspend/resume and shared multi-agent storage).
• Partner with multiple storage teams in google cloud platform (GCP) to drive alignment and clarity around strategy and execution.
• Lead the broader Kubernetes ecosystem and Open Source Software (OSS) community, driving key upstream initiatives to establish industry standards for storage solutions.
• Imagine, architect, and lead the technical execution of industry-defining standards through both direct, technical work and by mentoring and guiding teams of engineers.

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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.

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