Software Engineer III, AI/ML, Google Cloud
Company: Google
Location: Sunnyvale
Posted on: April 3, 2026
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Job Description:
info_outline X Note: By applying to this position you will have
an opportunity to share your preferred working location from the
following: Sunnyvale, CA, USA; Mountain View, CA, USA . Minimum
qualifications: Bachelor’s degree or equivalent practical
experience. 2 years of experience with software development in one
or more programming languages, or 1 year of experience with an
advanced degree. 1 year of experience with one or more of the
following: Speech/audio (e.g., technology duplicating and
responding to the human voice), reinforcement learning (e.g.,
sequential decision making), ML infrastructure, or specialization
in another ML field. 1 year of experience with ML infrastructure
(e.g., model deployment, model evaluation, optimization, data
processing, debugging). Preferred qualifications: Master's degree
or PhD in Computer Science or related technical fields. 2 years of
experience with data structures or algorithms. Experience
developing accessible technologies. 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 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 $147,000-$211,000 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 Write product or system development code.
Collaborate with peers and stakeholders through design and code
reviews to ensure best practices amongst available technologies
(e.g., style guidelines, checking code in, accuracy, testability,
and efficiency,) Contribute to existing documentation or
educational content and adapt content based on product/program
updates and user feedback. Triage product or system issues and
debug/track/resolve by analyzing the sources of issues and the
impact on hardware, network, or service operations and quality.
Implement solutions in one or more specialized ML areas, utilize ML
infrastructure, and contribute to model optimization and data
processing.
Keywords: Google, Berkeley , Software Engineer III, AI/ML, Google Cloud, IT / Software / Systems , Sunnyvale, California
