Staff Software Engineer, Cloud Storage AI/ML Solutions
Company: Google
Location: Seattle
Posted on: April 2, 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 programming in C++. Experience
with storage, software architecture, and testing. Experience in
leadership. 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. Experience with machine learning,
machine learning infrastructure, Python, and debugging. 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’s mission is to provide a
trusted storage system, with reliability, efficiency, performance,
and simplicity. The Storage AI/ML Solutions team leverages domain
knowledge to optimize Cloud Storage for AI/ML workloads. The team
supports customers to maximize GCP performance while assisting
internal teams in positioning GCP Storage as the industry's leading
solution. By engineering specialized AI client libraries and
publishing credible benchmarks, the team provides best-in-class
metrics for throughput, latency, and scalability. Additionally, we
actively collaborate with the open-source community to bridge
technical gaps and ensure seamless integration with GCP. 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
$207,000-$300,000 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 Provide technical leadership for a team in storage
AI/ML solutions to design and develop products/projects (e.g.,
benchmarks for GCP storage systems, AI/ML client libraries, or
tooling). Assist key customers in onboarding their AI/ML workloads
onto GCP storage. Work with various teams across GCP, including
core GCS, file solutions, GKE, Cloud ML Compute Services (CMCS),
and networking to drive storage innovation for AI/ML. Build
technical knowledge in object and file storage, AI/ML workloads,
and the evolving AI/ML landscape. Influence the industry and
building credibility for GCP storage.
Keywords: Google, Lakewood , Staff Software Engineer, Cloud Storage AI/ML Solutions, IT / Software / Systems , Seattle, Washington
