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工作类型: Full-time
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工作内容
Google welcomes people with disabilities.Minimum qualifications:
- Bachelor’s degree in Computer Science, Electrical Engineering, related technical field or equivalent practical experience.
- Experience in the field of software engineering (i.e. working with data structures, algorithms, software design).
- Experience in Software development, one or more programming languages (e,g., C/C++, Java or Python).
- Master’s or PhD degree in Computer Science, Electrical Engineering, or related technical field, specializing in computer architecture, operating system, compilers, or hardware-software codesign.
- Experience in compiler design and implementation, image/video/speech algorithms, and software/hardware implementation techniques.
- Experience in programming domain-specific accelerators, including GPU, TPU, or DSP.
- Experience in Android operating system, framework, and application.
- Experience in machine learning software stack and hardware architecture.
- Experience in system power and performance benchmark, profiling, analysis, and optimization.
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.
Responsibilities
- Improve the end-to-end performance and power of key compute workloads (e.g., Machine Learning, Image Processing, Signal Processing), focusing on observation and Speech use cases.
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最后期限: 20-12-2024
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