Google's Devices and Services team is seeking a Machine Learning Modeling Engineer to join their innovative team that combines Google AI, Software, and Hardware. This role focuses on developing and implementing ML accelerator architecture for Image Signal Processing, requiring expertise in silicon engineering and ML model development. The position offers a competitive salary range of $150,000-$223,000 plus additional benefits, and is based in several California locations.
The ideal candidate will have at least 5 years of silicon engineering experience and strong programming skills in C, C++, or Python. They will be responsible for creating software architecture for ML accelerators, implementing and testing models, and developing simulation environments. The role requires collaboration with various teams to integrate ML accelerator into compiler software environments.
This position is perfect for someone with a strong background in Electrical Engineering, Computer Engineering, or Computer Science, particularly those interested in computer architecture and ML acceleration. The role offers the opportunity to work on cutting-edge technology that makes computing faster and more efficient, directly contributing to Google's mission of organizing world's information and making it universally accessible.
Working at Google means joining a team that's making radical improvements in how people interact with technology. You'll be part of a company that values diversity, equality, and inclusion, offering comprehensive benefits and a collaborative environment. This role provides an excellent opportunity to work on innovative projects that combine hardware and software expertise to create helpful experiences for users worldwide.