Senior Software Engineer, ML Infrastructure, Cloud AI
Company: Google
Location: Mountain View
Posted on: April 1, 2026
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Job Description:
Minimum qualifications: Bachelor’s degree or equivalent
practical experience. 5 years of experience with software
development in C++. 3 years of experience testing, maintaining, or
launching software products, and 1 year of experience with software
design and architecture. 3 years of experience with machine
learning infrastructure, distributed systems or networks, or
experience with compute technologies, storage or hardware
architecture. Experience with high performance computing. Preferred
qualifications: Master's degree or PhD in Computer Science or a
related technical field. Experience in compilers or runtimes.
Experience with low-level programming. Experience in graphics
processing unit (GPU) programming. About the job The AI and
Infrastructure team is redefining what’s possible. We empower
Google customers with breakthrough capabilities and insights by
delivering AI and Infrastructure at unparalleled scale, efficiency,
reliability and velocity. Our customers include Googlers, Google
Cloud customers, and billions of Google users worldwide. We're the
driving force behind Google's groundbreaking innovations,
empowering the development of our cutting-edge AI models,
delivering unparalleled computing power to global services, and
providing the essential platforms that enable developers to build
the future. From software to hardware our teams are shaping the
future of world-leading hyperscale computing, with key teams
working on the development of our TPUs, Vertex AI for Google Cloud,
Google Global Networking, Data Center operations, systems research,
and much more. The US base salary range for this full-time position
is $174,000-$252,000 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 Contribute to existing documentation or
educational content and adapt content based on product/program
updates and user feedback. Understand how accelerator compiler and
runtimes interact at a high level. Close infra gaps to help with
end-to-end Machine Learning (ML) stack maturation (e.g., reduce a
number of ways something is done, improve reproducibility, improve
tooling, improve usability). Develop and apply metrics to
understand the problem you are solving and gage status/success as
needed. Participate in, or lead design reviews with peers and
stakeholders to decide amongst available technologies.
Keywords: Google, West Sacramento , Senior Software Engineer, ML Infrastructure, Cloud AI, IT / Software / Systems , Mountain View, California
