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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.

2 years of experience with data structures or algorithms.

Experience working with deep learning frameworks (e.g., TensorFlow, PyTorch, or JAX).

Preferred qualifications:

Master's degree or PhD in Computer Science or related technical field with an emphasis on Machine Learning/Artificial Intelligence.

Experience in optimizing ML models for inference.

Experience or publications in deep learning.

Experience in developing and training machine learning models.

Ability to adapt and succeed in a fast-paced environment.

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 is an engineering company at heart. We hire people with a broad set of technical skills who are ready to take on some of technology's greatest challenges and make an impact on users around the world. At Google, engineers not only revolutionize search, they routinely work on scalability and storage solutions, large-scale applications and entirely new platforms for developers around the world. From Google Ads to Chrome, Android to YouTube, social to local, Google engineers are changing the world one technological achievement after another.


Define, develop, and train edge optimized models for GenAI, computer vision, natural language, and speech use cases.

Design, build, and maintain model optimization tools and infrastructure modules needed for automating optimization and training of neural networks and architecture design space exploration.

Provide cross-team support for compiler, architecture exploration, and neural network design.

Work collaboratively with researchers and application developers to customize neural network architectures.

Write modular and efficient ML training pipelines and assist in building profiling and visualization tools.