Software Engineer, Machine Learning Compilers

Google
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Job Description

Minimum qualifications:

  • Bachelor’s degree or equivalent practical experience.
  • 5 years of experience with software development in one or more programming languages.
  • 5 years of experience with data structures or algorithms in either an academic or industry setting.

Preferred qualifications:

  • Master's degree or PhD in Computer Science or related technical field with an emphasis on compilers or ML performance
  • Experience with domain-specific compilers for machine learning.
  • Experience in optimizing large language models and Generative AI models.
  • Good understanding of hardware, especially hardware that provides a high degree of parallelism.

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.

Responsibilities

  • Build compilers and tools that efficiently map machine learning (ML) models (with a particular focus on Generative AI models) to the hardware instruction set architecture (ISA).
  • Evaluate various trade-offs of different parallelisation strategies such as performance, power, energy and memory consumption.
  • Optimize compilation results as well as the compiler itself.
  • Collaborate with machine learning researchers to constantly improve the domain-specific compiler.
  • Collaborate with hardware engineers to evolve future accelerators.

Company Info.

Google

Google LLC is a multinational technology company headquartered in the United States that specializes in various fields, including search engine technology, cloud computing, online advertising, quantum computing, e-commerce, computer software, artificial intelligence, and consumer electronics. With its market dominance, data collection, and technological advancements in AI.

  • Industry
    E-commerce,Artificial intelligence,Internet services,Cloud computing,Computer software,Advertising,Computer hardware,Consumer electronics
  • No. of Employees
    139,995
  • Location
    1600 Amphitheatre Parkway, Mountain View, CA 94043, USA
  • Website
  • Jobs Posted

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Google is currently hiring Software Engineer, Machine Learning Jobs in Bengaluru, Karnataka, India with average base salary of ₹90,000 - ₹250,000 / Month.

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