Software Engineer, ML Compilers, Silicon

Google is seeking a Software Engineer specializing in ML Compilers to join their EdgeTPU compiler team. This role is crucial for developing and optimizing compiler technologies for Google's AI hardware accelerators. The position combines expertise in compiler development, machine learning, and hardware optimization.

As part of Google's mission to organize the world's information and make it universally accessible, you'll work on next-generation technologies that impact billions of users. The role involves working with cutting-edge AI hardware (EdgeTPU) and developing sophisticated compiler optimizations to enhance machine learning workload performance.

The ideal candidate will have a strong foundation in computer science, particularly in compiler development and machine learning optimization. You'll collaborate with hardware architects to co-design future accelerator architectures and their software interfaces. This position offers the opportunity to work at the intersection of hardware and software, optimizing AI systems at scale.

Working at Google, you'll be part of a team that combines the best of Google AI, Software, and Hardware to create groundbreaking experiences. The role offers exposure to large-scale system design, artificial intelligence, and hardware acceleration, with opportunities to grow and evolve with Google's fast-paced business.

This position is perfect for someone passionate about compiler technology, machine learning, and hardware optimization, who wants to make a significant impact on the future of AI acceleration and computing efficiency. You'll be at the forefront of developing technology that makes computing faster, seamless, and more powerful, ultimately contributing to Google's goal of making people's lives better through technology.