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Software Engineer, Machine Learning, EdgeTPU



Software Engineering
Bengaluru, Karnataka, India
Posted on Wednesday, May 24, 2023


Minimum qualifications:

  • Bachelor's degree in Computer Science or related technical field or equivalent practical experience.
  • 2 years of experience in Machine Learning or Artificial Intelligence.
  • Experience with one or more general purpose programming languages (e.g., C/C++ or Python)

Preferred qualifications:

  • Master's degree in Computer Science or related technical field or equivalent practical experience
  • Publications or research experience in deep learning
  • Experience and computer vision, imaging, or language models
  • Experience with computer architecture, accelerator architecture design, and power and performance analysis

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.

Google's mission is to organize the world's information and make it universally accessible and useful. Our team combines the best of Google AI, Software, and Hardware to create radically helpful experiences. We research, design, and develop new technologies and hardware to make computing faster, seamless, and more powerful. We aim to make people's lives better through technology.


  • Work in a team of hardware and software engineers to build tools for large-scale AutoML.
  • Design, build, and maintain the infrastructure modules needed for automating customization and training of neural networks. Write modular and efficient ML training pipelines.
  • Work collaboratively with researchers and application developers to customize neural network architectures. Collect performance/power data on the given hardware platform.
  • Develop and implement efficient algorithms for searching the space of neural network architectures for a given task and hardware configuration.
  • Collaborate with hardware architects to evolve future accelerators and assist in building profiling and visualization tools.

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.

To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees or any other organization location. Google is not responsible for any fees related to unsolicited resumes.

At Google, we’re committed to building a workforce that is more representative of the users we serve and creating a culture where everyone feels like they belong. To learn more about our diversity, equity, inclusion commitments and how we’re building belonging, please visit our Belonging page for more information.

We welcome and encourage people who are expecting and/or parents-to-be to apply to this or any other role at Google.

Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles.