Software Engineer, Compiler, Scheduling and Optimization, Silicon

Google is seeking a Software Engineer to join their EdgeTPU compiler team, focusing on core optimization and scheduling algorithms for their next-generation compiler framework. This role is crucial in developing and implementing optimization algorithms and compiler transformation frameworks that will power AI/ML performance in Google devices.

The position requires expertise in compiler development, with a focus on Multi-Level Intermediate Representation (MLIR) and optimization for accelerator-based architectures. You'll be working on cutting-edge technology, including the latest Generative AI models, and will have the opportunity to influence both current and future generations of Google devices.

The ideal candidate will have strong experience in C++ or Python programming, compiler development, and machine learning architectures. You'll collaborate with EdgeTPU architects to design hardware/software interfaces and work alongside product managers and researchers to identify emerging Machine Learning trends.

This role offers competitive compensation, including a base salary range of $136,000-$200,000, plus bonus, equity, and comprehensive benefits. You'll be part of Google's mission to organize the world's information and make it universally accessible, working with a team that combines the best of Google AI, Software, and Hardware to create innovative solutions.

The position provides opportunities for growth and impact, as you'll be working on critical projects that directly affect Google's AI capabilities and hardware performance. You'll be at the forefront of developing technology that powers the next generation of AI applications, making this an exciting opportunity for someone passionate about compiler optimization and machine learning technologies.