Machine Learning Modeling Engineer, Silicon

Google is seeking a Machine Learning Modeling Engineer to join their Silicon team, focusing on developing custom silicon solutions that power Google's direct-to-consumer products. This role combines cutting-edge AI, software, and hardware development to create innovative solutions that impact millions of users worldwide.

The position involves creating and maintaining software environments for reference Machine Learning accelerator c-models, developing system models for ML accelerator integration, and working closely with architects, implementation designers, verification engineers, and software engineers. You'll be responsible for providing bit-accurate system c-models and specifications.

As part of Google's mission to organize the world's information and make it universally accessible, you'll be working with a diverse team that pushes boundaries in hardware development. The role offers competitive compensation including a base salary range of $108,000-$158,000, plus bonus, equity, and comprehensive benefits.

The ideal candidate should have a strong foundation in computer science or related fields, with experience in programming languages like C/C++ and Python. Knowledge of SoC development, reference model development, and AI/ML accelerators is highly valued. This is an excellent opportunity for someone passionate about hardware innovation and machine learning to contribute to next-generation technology development at one of the world's leading tech companies.

Working at Google's Mountain View location, you'll be part of a culture that values diversity, equality, and inclusion, with a strong commitment to creating helpful experiences through technology. The role offers significant growth potential and the chance to work on projects that directly impact Google's hardware future.