Software Engineer

Google
Mountain View, California, United StatesFull-time$147,000–$210,000Posted Sep 1, 2026

About the role

MINIMUM QUALIFICATIONS:

  • Bachelor’s degree or equivalent practical experience.
  • 2 years of experience with software development in one or more programming

languages, or 1 year of experience with an advanced degree.

  • 1 year 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.

  • 1 year of experience with ML infrastructure (e.g., model deployment, model

evaluation, optimization, data processing, debugging).

PREFERRED QUALIFICATIONS:

  • Master's degree or PhD in Computer Science or related technical fields.
  • 2 years of experience with data structures and algorithms.
  • Experience developing accessible technologies.

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.

We are seeking a motivated and experienced software engineer to be a key

contributor in building and owning our cutting-edge, cross-device test

infrastructure. In this role, you will play a crucial part in transforming our

software development lifecycle, empowering our test engineers and developers to

achieve faster release cycles and higher quality software. You will leverage

your deep technical skills to construct robust, scalable test systems and

explore and implement AI-powered automation to drive efficiency and

innovation.The Platforms and Devices team encompasses Google's various computing

software platforms across environments (desktop, mobile, applications), as well

as our first party devices and services that combine the best of Google AI,

software, and hardware. Teams across this area research, design, and develop new

technologies to make our user's interaction with computing faster and more

seamless, building innovative experiences for our users around the

world.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

Learn more about benefits at Google

[https://www.google.com/about/careers/applications/benefits/].

RESPONSIBILITIES:

  • Write product or system development code.
  • Collaborate with peers and stakeholders through design and code reviews to

ensure best practices amongst available technologies (e.g., style guidelines,

checking code in, accuracy, testability, and efficiency).

  • Contribute to existing documentation or educational content and adapt content

based on product/program updates and user feedback.

  • Triage product or system issues and debug/track/resolve by analyzing the

sources of issues and the impact on hardware, network, or service operations

and quality.

  • Implement solutions in one or more specialized ML areas, utilize ML

infrastructure, and contribute to model optimization and data processing.

Responsibilities

  • Write product or system development code.
  • Collaborate with peers and stakeholders through design and code reviews to ensure best practices amongst available technologies.
  • Contribute to existing documentation or educational content and adapt content based on product/program updates and user feedback.
  • Triage product or system issues and debug/track/resolve by analyzing the sources of issues and the impact on hardware, network, or service operations and quality.
  • Implement solutions in one or more specialized ML areas, utilize ML infrastructure, and contribute to model optimization and data processing.

Qualifications

  • Bachelor’s degree or equivalent practical experience.
  • 2 years of experience with software development in one or more programming languages, or 1 year of experience with an advanced degree.
  • 1 year of experience with one or more of the following: Speech/audio, reinforcement learning, ML infrastructure, or specialization in another ML field.
  • 1 year of experience with ML infrastructure.

Benefits

  • 15% bonus target
  • equity
  • benefits

Skills mentioned

Software TestingAutomationMachine LearningMLOpsModel DeploymentModel EvaluationPerformance OptimizationDebuggingSystem DesignDistributed Systems

About Google

A problem isn't truly solved until it's solved for all. Googlers build products that help create opportunities for everyone, whether down the street or across the globe. Bring your insight, imagination and a healthy disregard for the impossible. Bring everything that makes you unique. Together, we can build for everyone. Check out our career opportunities at goo.gle/3DLEokh

Software Development10,001+ employeesMountain View, CA