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Machine Learning Compiler Engineer, Silicon

Machine Learning Compiler Engineer, Silicon

Google

2 - 7 years

45 - 50 Lacs

Bengaluru

Posted:3 weeks ago| Platform:

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Skills Required

C++ Networking Artificial Intelligence Machine learning Data structures System design Information retrieval Silicon Natural language processing

Work Mode

Work from Office

Job Type

Full Time

Job Description

Minimum qualifications:

Bachelor's degree in Computer Science, a related technical field, or equivalent practical experience.
2 years of experience in C++ development.
Experience in data structures and algorithms.

Preferred qualifications:

Master's degree in Computer Science, a related technical field, or equivalent practical experience.
Experience with compilers and performance optimizations.
Experience with Low Level Virtual Machines (LLVM).

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 map ML models (with a focus on computing use cases) to the hardware Infrastructure Support Agreement (ISA).
Evaluate various trade-offs of different parallelization strategies such as performance, power, energy and memory consumption.
Collaborate with machine learning researchers to improve the domain-specific compiler.
Collaborate with hardware engineers to evolve future accelerators.

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Machine Learning Compiler Engineer, Silicon