Senior Staff Engineer, Storage, AI/ML, Solutions
Company: Google
Location: Seattle
Posted on: April 1, 2026
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Job Description:
info_outline X 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
(statutory, where applicable); 5 days/event (discretionary)
Maternity Leave (Short-Term Disability Baby Bonding): 28-30 weeks
Baby Bonding Leave: 18 weeks Holidays: 13 paid days per year
Minimum qualifications: Bachelor’s degree or equivalent practical
experience. 8 years of experience in software development. 7 years
of experience in building and developing large-scale
infrastructure, distributed systems or networks, or with compute
technologies, storage, or hardware architecture. 5 years of
experience with design and architecture; and testing/launching
software products. Preferred qualifications: Master’s degree or PhD
in Engineering, Computer Science, or a related technical field.
Experience with AI algorithms and machine learning infrastructure.
Experience with machine learning optimization. Experience in file
systems, operating systems, performance engineering, and the
rapidly evolving AI/ML landscape. About the job Google Cloud's
software engineers develop the next-generation technologies that
change how billions of users connect, explore, and interact with
information and one another. 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 Cloud's needs with opportunities to
switch teams and projects as you and our fast-paced business grow
and evolve. You will anticipate our customer needs and be empowered
to act like an owner, take action and innovate. 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. In this role, you will drive
the strategy and execution to position Google Cloud Platform (GCP)
Storage as the industry's premier solution for planet-scale AI/ML
workloads. You will lead the development and tuning of
high-credibility benchmarks for GCP Storage systems and develop
enhanced AI/ML client libraries. Additionally, you will provide
technical direction in areas such as file systems, operating
systems, and performance engineering. 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. The US base
salary range for this full-time position is $262,000-$365,000 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 Develop and
enhance AI/ML client libraries for storage. Lead the team to
design, develop, and tune benchmarks for GCP Storage systems,
positioning GCP Storage as the premier solution for AI/ML
workloads. Assist key customers in onboarding their AI/ML workloads
onto GCP storage. Work closely with cross-functional teams across
GCP including Core GCS, File Solutions, GKE, Cloud ML Compute
Services (CMCS), and Networking to drive storage innovation for
AI/ML.
Keywords: Google, Seattle , Senior Staff Engineer, Storage, AI/ML, Solutions, IT / Software / Systems , Seattle, Washington
