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Software Engineer, Mobile Heterogeneous Compute Runtime, Silicon
View: 128
Update day: 05-11-2024
Location: Banqiao District New Taipei City
Category: IT - Software High Technology Mechanical / Technical Electrical / Electronics
Industry: Information Services Technology Information Internet
Job type: Full-time
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Job content
Google welcomes people with disabilities.Minimum qualifications:
- Bachelor’s degree in Computer Science, Electrical Engineering, related technical field or equivalent practical experience.
- 3 years of experience in developing runtime stack for mobile applications.
- Experience with software development in C++.
- Experience developing mobile workloads that use standard compute APIs (such as OpenCL, Vulkan).
- Experience developing imaging/ML mobile workloads that leverage custom accelerators.
- Experience developing runtime stack for mobile GPUs, DSPs, or other compute IPs.
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
- Develop abstractions and interfaces that allow easy and efficient dispatch of SW workloads to the various compute IPs in the system.
- Optimize the stack for high-performance and low-power execution of compute intensive Imaging and ML applications.
- Work with framework teams (such as TF, NNAPI, etc.) to provide an end-to-end Runtime stack that effectively uses all available compute IPs in the system.
- Port, profile, and analyse representative workloads/apps to the Heterogeneous Compute Runtime in order to provide data-driven feedback on possible improvements throughout the software stack and to the hardware.
- Integrate the low-level APIs and interfaces with higher-level language frameworks, for use by app developers.
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Deadline: 20-12-2024
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