
Senior Staff Software Engineer, AI/ML Diagnostic Systems and Hardware Coverage
Sunnyvale, CAJob$262–364K/yrSeen todaySeen in employer's feed today
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Job overview
Google’s Platforms Infrastructure Engineering Core Systems and Capacity Assurance team develops tools and systems for managing machine health throughout its service lifetime, including diagnostics and repair strategies. The Senior Staff Software Engineer will drive the convergence of AI, hardware design analysis, and systems engineering, building generative AI tools and workflows to improve diagnostic software and hardware test coverage across Google’s infrastructure.
Skills & qualifications
Skills
Qualifications
Full job description
Senior Staff Software Engineer, AI/ML Diagnostic Systems and Hardware Coverage
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corporate_fare Google place Sunnyvale, CA, USA
Advanced
Experience owning outcomes and decision making, solving ambiguous problems and influencing stakeholders; deep expertise in domain.
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XIn most instances, this position requires in-person interviews as part of the hiring process.
Minimum qualifications:
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Bachelor’s degree or equivalent practical experience.
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8 years of experience in software development.
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7 years of experience leading technical project strategy, ML design, and end-to-end Machine Learning (e.g., model deployment, model evaluation, data processing, debugging).
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5 years of experience with design and architecture; and testing/launching software products.
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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.
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Experience in designing, implementing and troubleshooting hardware diagnostics.
Preferred qualifications:
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Master’s degree in Computer Science, Electrical/Computer Engineering, Artificial Intelligence, or equivalent practical experience.
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10 years of professional software engineering and machine learning experience, including technical leadership on infrastructure systems.
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8 years of experience with data structures/algorithms.
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Experience building production machine learning systems, agentic architectures, LLM pipelines, or deep learning models applied to system telemetry.
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Advanced experience in C++ or Rust, along with experience using machine learning frameworks and data processing tools.
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Knowledge of computer architecture, modern ASIC/SoC functional blocks, high-speed interfaces, and hardware failure mechanisms.
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 Platforms Infrastructure Engineering Core Systems and Capacity Assurance team is responsible for delivering the tools and systems that manage the state of a machine throughout it's service lifetime while part of the Google Fleet. We are also responsible for the diagnostic tests, and repair strategies to ensure that a machine is healthy and ready to serve. This includes software installation, hardware health testing, and machine management. We are responsible for the validation of machine health at the time of manufacture and also when it is deployed in the data center.
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.
Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
US: $262000 - $364000 (USD) + 25% bonus target + equity + benefits
Learn more aboutbenefits at Google (https://www.google.com/about/careers/applications/benefits/) .
Responsibilities
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Serve as the technical authority driving the convergence of Artificial Intelligence, silicon/hardware design analysis, and systems engineering.
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Architect and build generative AI tools, foundation model skills, and agentic workflows by leveraging complex ASIC architectural specifications, system schematics, software contracts, and historical test execution telemetry.
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Transform how hardware diagnostic software is created, optimized, and deployed across Google’s next-generation compute, accelerator (TPU/GPU), network, and storage infrastructure.
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Empower Diagnostic Software Engineers to achieve comprehensive test coverage across all hardware components, interfaces, and functional blocks.
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Optimize test execution time and pinpoint optimal repair actions using advanced artificial intelligence systems.
Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google'sApplicant and Candidate Privacy Policy (./privacy-policy) .
Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See alsoGoogle's EEO Policy (https://www.google.com/about/careers/applications/eeo/) ,Know your rights: workplace discrimination is illegal (https://careers.google.com/jobs/dist/legal/EEOC\_KnowYourRights\_10\_20.pdf) ,Belonging at Google (https://about.google/belonging/) , andHow we hire (https://careers.google.com/how-we-hire/) .
If you have a need that requires accommodation, please let us know by completing ourAccommodations for Applicants form (https://goo.gl/forms/aBt6Pu71i1kzpLHe2) .
Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.
To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes.
Equity is granted exclusively and discretionarily by Alphabet Inc. on the basis of an agreement concluded between you and Alphabet Inc. Alphabet Inc. is your sole contractual partner with respect to equity grants. GSU grants are not guaranteed, are discretionary, are subject to approval by the Alphabet Inc. board of directors or its delegate, the terms of the relevant Alphabet Inc. stock plan, and your grant agreement. They have no impact on statutory payments. Current or past grants do not confer an acquired right.
Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also https://careers.google.com/eeo/ and https://careers.google.com/jobs/dist/legal/OFCCP_EEO_Post.pdf If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form: https://goo.gl/forms/aBt6Pu71i1kzpLHe2.
How this job compares
Set against the 8,920 open Software Engineering jobs on Olive Jobs, counted November 12, 2026.
- Pay
- This posting$262–364K/yr
- California median$187–280K/yr1,323 salary ranges
- US median$146–253K/yr6,825 salary ranges
This range's midpoint, $313K, is 35% above the California median midpoint ($231K) — in the top quarter of Software Engineering salary ranges in California.
- Openings
- Olive Jobs lists 1,802 open Software Engineering jobs in California and 8,920 across the US. 9% of them nationwide are listed as remote or flexible.
- Experience
- This posting asks for at least 8 years of experience; Software Engineering postings that state a minimum ask for 7 years at the median (6,725 postings).
- Education
- 2,159 of the 8,920 open Software Engineering jobs (24%) ask for a bachelor's degree or higher.
Counted across the open, public US postings on Olive Jobs on November 12, 2026. Pay medians are the middle values of the low ends and of the high ends of postings that list both ends of a range in the same cadence (a yearly salary or an hourly rate); a range's midpoint is halfway between its ends. Pay and experience figures resting on fewer than 20 postings are left out.
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