Staff Software Engineer, Diagnostic 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. 8 years of experience programming in C++. 5
years of experience building and developing large-scale
infrastructure, distributed systems or networks, or experience with
compute technologies, storage, or hardware architecture. 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. Familiarity with
SLOs/metrics measurement, logs/telemetry/metrics integration with
tools for enhanced operator experience. Demonstrated comfort with
rapidly changing priorities and ambiguity, and a track record of
delivering solutions for subtle or complex technical problems.
Proven deep systems expertise and ability to guide a team in
building scalable, sustainable systems. 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 and provide
critical infrastructure for the execution of diagnostics across
both test and production environments. In this role, you will focus
on building robust systems to describe, qualify, and distribute
diagnostics. Your primary objectives will be to minimize Mean Time
To Repair (MTTR) and maximize useful diagnostic and hardware
coverage by collaborating closely with stakeholders and the wider
diagnostics team. The ML, Systems, & Cloud AI (MSCA) organization
at Google designs, implements, and manages the hardware, software,
machine learning, and systems infrastructure for all Google
services (Search, YouTube, etc.) and Google Cloud. Our end users
are Googlers, Cloud customers and the billions of people who use
Google services around the world. We prioritize security,
efficiency, and reliability across everything we do - from
developing our latest TPUs to running a global network, while
driving towards shaping the future of hyperscale computing. Our
global impact spans software and hardware, including Google Cloud’s
Vertex AI, the leading AI platform for bringing Gemini models to
enterprise customers. 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 Establish technology and product direction in
collaboration with other tech leads, managers, partners, clients,
and senior leadership. Grow technical expertise within the team.
Assess impact to team software stack from new hardware product
programs and explore AI driven process improvement and automation.
Drive project planning, prioritization, and execution to meet both
the long term and short term goals. Help setup engineering best
practices in collaboration with the broader engineering team.
Collaborate with Product Managers, User Experience, Technical
Program Managers and other stakeholders across the organization and
Google.
Keywords: Google, Stockton , Staff Software Engineer, Diagnostic Infrastructure, IT / Software / Systems , Sunnyvale, California
