Software Engineer, Machine Learning, TPU
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Minimum qualifications:
- Bachelor's degree or equivalent practical experience.
- 8 years of experience in software development and with data structures/algorithms.
- 5 years of experience testing and launching software products.
- 3 years of experience with software design and architecture.
Preferred qualifications:
- Master's degree in Computer Science, a related technical field, or equivalent practical experience.
- 5 years of experience with machine learning algorithms and tools (e.g., TensorFlow), artificial intelligence, deep learning, or natural language processing.
- Experience with publications or research.
- 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.
Responsibilities
- Work in a team of hardware and software engineers to build tools for Automated Machine Learning.
- Design, build, and maintain infrastructure modules needed for automating customization and training of neural networks.
- Work collaboratively with researchers and application developers to customize neural network architectures.
- 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.
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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.
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