Machine Learning Modeling Engineer, Silicon

Google is seeking a Machine Learning Modeling Engineer to join their diverse team working on custom silicon solutions for Google's direct-to-consumer products. This role focuses on creating and maintaining software environments for reference Machine Learning accelerator c-models and developing system models for ML accelerator integration. You'll work alongside architects, implementation designers, verification engineers, and software engineers to provide bit-accurate system c-models and specifications.

The position offers an opportunity to be at the forefront of hardware innovation, developing solutions that power Google's products used by millions worldwide. You'll contribute to the company's mission of organizing world's information and making it universally accessible through the combination of Google's AI, Software, and Hardware expertise.

The ideal candidate should have a strong foundation in programming, particularly with C/C++ and Python, along with an educational background in Computer Science or related fields. Experience with SoC development, reference model development, and knowledge of AI/ML accelerators would be highly valuable. This role provides an excellent opportunity to work on cutting-edge technology while contributing to products that make a real impact on users' lives.

Working at Google, you'll be part of a company committed to diversity, equality, and creating a culture of belonging. The role comes with competitive compensation including base salary, bonus, equity, and comprehensive benefits. Join a team that's pushing the boundaries of hardware experiences and delivering unparalleled performance, efficiency, and integration in Google's next-generation products.