Staff Software Engineer, AI/ML, Google Cloud
Company: Google
Location: Cupertino
Posted on: January 8, 2026
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Job Description:
Minimum qualifications: Bachelor’s degree or equivalent
practical experience. 8 years of experience in software
development. 5 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. 5 years of experience leading ML design and
optimizing ML infrastructure (e.g., model deployment, model
evaluation, data processing, debugging, fine tuning). 5 years of
experience testing, and launching software products. 3 years of
experience with software design and architecture. Preferred
qualifications: Master’s degree or PhD in Engineering, Computer
Science, or a related technical field. 8 years of experience with
data structures/algorithms. 3 years of experience in a technical
leadership role leading project teams and setting technical
direction. 3 years of experience working in an organization
involving cross-functional, or cross-business projects. About the
job Googles 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. Were 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 works on the
world’s toughest problems, redefining what’s possible and the
possible easy. We empower Google customers by delivering AI and
Infrastructure at unparalleled scale, efficiency, reliability and
velocity. Our customers include Googlers, Googler Cloud customers,
and billions of Google users worldwide. We’re at the center of
amazing work at Google by being the “flywheel” that enables our
advanced AI models, delivers computing power across global
services, and offers platforms that developers use to build
services. In AI and Infrastructure, we shape the future of
hyperscale computing by inventing and creating world-leading future
technology, and drive global impact by contributing to Google
infrastructure, from software to hardware (including building
Vertex AI for Google Cloud). We work on complex technologies at a
global scale with key players in the AI and systems space. Join a
team of talented individuals who not only work together to keep
data centers operating efficiently but also create a legacy of
driving innovation by building some of the most complex systems
technologies. The US base salary range for this full-time position
is $197,000-$291,000 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 Design, develop, test, deploy, maintain, and
enhance large scale software solutions. Provide technical
leadership on high-impact projects. Manage project priorities,
deadlines, and deliverables. Facilitate alignment and clarity
across teams on goals, outcomes, and timelines. Influence and coach
a distributed team of engineers. Lead the design and implementation
of solutions in specialized ML areas, optimize ML infrastructure,
and guide the development of model optimization and data processing
strategies.
Keywords: Google, Petaluma , Staff Software Engineer, AI/ML, Google Cloud, Engineering , Cupertino, California
