Software Engineer III, Machine Learning Infrastructure, Core
Company: Google
Location: Cupertino
Posted on: January 10, 2026
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Job Description:
Minimum qualifications: Bachelor’s degree or equivalent
practical experience. 2 years of experience with software
development in one or more programming languages. 2 years of
experience with testing, maintaining or launching software
products, and 1 year of experience with software design and
architecture. 1 year of experience with machine learning algorithms
and tools, building production quality Machine Learning (ML)
systems and infrastructure. 1 year of experience with software
design, architecture, and Machine Learning. Preferred
qualifications: Masters degree or PhD in Computer Science or a
related technical field. Experience in applying adversarial ML
research. Experience in conducting Red Team exercises. Experience
with a wide variety of machine learning technologies and
applications, spanning audio, video, and text. 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. In this role, with your technical expertise you
will manage project priorities, deadlines, and deliverables. You
will design, develop, test, deploy, maintain, and enhance software
solutions. The Core team builds the technical foundation behind
Google’s flagship products. We are owners and advocates for the
underlying design elements, developer platforms, product
components, and infrastructure at Google. These are the essential
building blocks for excellent, safe, and coherent experiences for
our users and drive the pace of innovation for every developer. We
look across Google’s products to build central solutions, break
down technical barriers and strengthen existing systems. As the
Core team, we have a mandate and a unique opportunity to impact
important technical decisions across the company. The US base
salary range for this full-time position is $141,000-$202,000 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 Plan, lead, and
execute realistic ML Red Team exercises where you step into the
role of an attacker aiming ML deployments in our products. Design
controls and improvements to sharpen our capabilities to defend
against attackers in close cooperation with the teams responsible
for implementing them. Document and present results to a variety of
audiences, ranging from highly technical engineers and
non-technical subject matter experts to executive leadership.
Collaborate with product teams to support them identify and
implement mitigations against successful attacks on ML deployments.
Work self-driven to develop the processes and infrastructure to
execute ML Red Team exercises.
Keywords: Google, Vallejo , Software Engineer III, Machine Learning Infrastructure, Core, IT / Software / Systems , Cupertino, California
