Staff Software Engineer, ML, Compute Platform
Company: Google
Location: Sunnyvale
Posted on: April 3, 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 testing, and launching software
products. 5 years of experience working with embedded operating
systems. 3 years of experience with software design and
architecture. Experience with embedded systems, ARM processor and
Linux. Preferred qualifications: Master’s degree or PhD in
Engineering, Computer Science, or a related technical field. 8
years of experience with data structures and algorithms. 3 years of
experience in a technical leadership role leading project teams and
setting technical direction. 3 years of experience working in a
complex, matrixed organization involving cross-functional, or
cross-business projects. Experience with diagnostics, networking
and data analysis. 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. In this role,
you will develop embedded software, diagnostics tests, tools in
support of pre/post-silicon validation for inhouse SoCs, machine
learning (ML) Systems (TPU/GPU) and compute servers. You will get
an opportunity to do system health verification, performance
characterization, and solve on-going reliability problems for
millions of machines inside Google Data Centers across the globe.
You will enable the hardware reliability and decision making on
cutting-edge hardware and software design and deployment. You will
work on projects that push the limits of technologies and provide
you with an opportunity to make a large impact. The technologies
include systems that support compute, search, machine learning,
video transcoding, security, image processing etc. 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 $207,000-$300,000 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 Provide technical leadership on high-impact
projects. Influence and coach a distributed team of engineers.
Facilitate alignment and clarity across teams on goals, outcomes,
and timelines. Manage project priorities, deadlines, and
deliverables. Design, develop, test, deploy, maintain, and enhance
large-scale software solutions.
Keywords: Google, Dublin , Staff Software Engineer, ML, Compute Platform, IT / Software / Systems , Sunnyvale, California
