Software Engineer, Pixel Test Engineering/AI Application

Google

United States

On-site

USD 147,000 - 210,000

Full time

3 days ago
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Job summary

Google seeks a mid-level Software Engineer for Pixel Test Engineering/AI Applications in Mountain View, CA. You will help build cutting-edge test infrastructure and apply AI-powered automation to speed up releases and improve software quality.

Required: BS or equivalent, 2 years of software development in multiple languages, and 1 year in ML areas such as speech, reinforcement learning, or ML infrastructure. Strong growth and impact opportunities across Google’s platforms.

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 (model deployment, model evaluation, optimization, data processing, debugging).

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.

Skills

Programming languages
Speech/audio
Reinforcement learning
ML infrastructure
AI/ML concepts

Education

Bachelor’s degree
Master’s or PhD

Job description

Software Engineer, Pixel Test Engineering/AI Application

Location: Mountain View, CA, USA

Experience Level: Mid

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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 Salary Range: $147,000 – $210,000 (USD) + 15% bonus target + equity + benefits

Learn more about benefits at Google.

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.

Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google’s Applicant and Candidate 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 also Google’s EEO Policy, Know your rights: workplace discrimination is illegal, Belonging at Google, and How we hire.

If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

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.

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.

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