Senior Software Engineer, AI/ML, AI and Infrastructure
Company: Google
Location: Sunnyvale
Posted on: April 1, 2026
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Job Description:
Minimum qualifications: Bachelor’s degree or equivalent
practical experience. 5 years of experience programming in Python
or 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 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. 3 years 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 field. 5 years of
experience with data structures/algorithms. 1 year of experience in
a technical leadership role. 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 $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 Write and test 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.
Design and implement solutions in one or more specialized ML areas,
leverage ML infrastructure, and demonstrate expertise in a chosen
field.
Keywords: Google, Petaluma , Senior Software Engineer, AI/ML, AI and Infrastructure, IT / Software / Systems , Sunnyvale, California
