ISP Machine Learning Modeling Engineer, Silicon
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Minimum qualifications:
- Bachelor's degree in Computer Science or Electrical Engineering, or equivalent practical experience.
- 3 years of experience in programming (e.g., C/C++, Python) in industry roles.
Preferred qualifications:
- Master's degree in Computer Science or Electrical Engineering.
- 5 years of hardware industry experience.
- Experience in a SoC development environment.
- Experience in reference model development.
- Experience with AI and Machine Learning accelerators.
- Proficiency in C, C++, or Python programming.
About the job
In this role, you will create and maintain a software environment for reference ML accelerator c-models. You will develop a system model that expands the team to work across organizations for ML accelerator integration. You will work closely with architects, implementation designers, verification engineers, and software engineers to provide bit-accurate system c-models and specifications.
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
- Create and maintain software architecture for Machine Learning accelerators.
- Implement, model, analyze, and test Machine Learning accelerators.
- Develop a software environment for ISP Machine Learning accelerator development and simulation.
- Support delivery of ISP Machine Learning accelerator c-models for implementation and verification.
- Integrate the Machine Learning accelerator into compiler software environment.
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