Staff Software Engineer, Diagnostic Infrastructure

SOFTWARE_ENGINEERING
USA
April 11, 2026
FULL_TIME

Job Overview

  • Date Posted
    April 11, 2026
  • Location
    USA
  • Expiration date
    --

Job Description

2026-03-26T16:00:13.083Z

137173877707940550

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. 

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 Google’s EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

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