Software Engineer III, Diags Infrastructure

Google; Sunnyvale (CA); On-site; USD 147,000 - 210,000; Full time

Job summary

Google is seeking software engineers to design, build, and scale diagnostic infrastructure for production and manufacturing environments. You will help minimize MTTR and extend hardware coverage across global fleets, while contributing core primitives and APIs to model diagnostics and test constraints.

The role emphasizes collaboration with the Diags Infra team to deliver reliable infrastructure, qualification frameworks, and dynamic distribution systems across test and production environments.

Qualifications

• Bachelor’s degree or equivalent practical experience required.
• 2 years of experience building and developing large-scale infrastructure and distributed systems.
• 2 years of experience in programming.
• 2 years of experience testing and launching software products.
• 1 year of experience with distributed computing and large-scale data processing.

Responsibilities

• Design, build, and scale our next-generation diagnostic infrastructure for production and manufacturing environments.
• Minimize MTTR and maximize useful hardware coverage across global fleets.
• Implement foundational software primitives and API capabilities to model diagnostic capabilities and validate test constraints.
• Join the Diags Infra team to engineer diagnostic infrastructure, qualification frameworks, and dynamic distribution systems.
• Focus on building systems to describe, qualify, and distribute diagnostics across both test and production environments; drive automation accordingly.

Skills

Distributed systems

Programming

Testing software

Distributed computing

Education

Bachelor’s degree

Master’s degree

Tools

Python

C++

Data center architecture

Monitoring systems

Tools development

Job description

• Bachelor’s degree or equivalent practical experience.
• 2 years of experience building and developing large-scale infrastructure and distributed systems.
• 2 years of experience in programming.
• 2 years of experience testing and launching software products.
• 1 year of experience with distributed computing and large-scale data processing.

Minimum qualifications:

• Bachelor’s degree or equivalent practical experience.
• 2 years of experience building and developing large-scale infrastructure and distributed systems.
• 2 years of experience in programming.
• 2 years of experience testing and launching software products.
• 1 year of experience with distributed computing and large-scale data processing.

Preferred qualifications:

• Master's degree or PhD in Computer Science or related technical field.
• 2 years of experience with data center architecture.
• 2 years of experience with tools development.
• 2 years of experience with monitoring systems.
• 2 years of experience with coding in Python and C++.

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.

Our team's mission is to engineer diagnostic infrastructure, qualification frameworks, and dynamic distribution systems to minimize Mean Time To Repair (MTTR) and maximize useful hardware coverage. We drive automation by providing coverage-based recommendations to the repair ecosystem, minimizing operational intervention across both test and production environments.

As a member of the Diags Infrastructure team, you will develop and provide critical infrastructure for the execution of diagnostics. Your primary objectives will be achieved by collaborating closely with stakeholders and the wider diagnostics team.

Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

US: $147000 - $210000 (USD) + 15% bonus target + equity + benefits

Responsibilities

Learn more about benefits at Google .

• Design, build, and scale our next-generation diagnostic infrastructure for production and manufacturing environments.
• Play a critical role in minimizing MTTR and maximizing useful hardware coverage across global fleets.
• Implement foundational software primitives and API capabilities to model diagnostic capabilities and validate test constraints.
• Join the Diags Infra team to engineer diagnostic infrastructure, qualification frameworks, and dynamic distribution systems.
• Focus on building systems to describe, qualify, and distribute diagnostics across both test and production environments. Drive automation by providing coverage-based recommendations to the repair ecosystem, minimizing operational intervention.

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 .