Senior Diagnostics Infrastructure Software Engineer

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

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.