Software Engineering • Mid-Level

Who you are

You have a Bachelor's degree or equivalent practical experience, along with at least 2 years of experience in software development using C++. Your background includes building developer tools such as compilers and automated testing frameworks, and you have experience with large-scale machine learning infrastructure and distributed systems. You are familiar with data structures and algorithms, and you have a keen interest in numerical issues related to machine learning, including floating point and numerical stability.

You are comfortable working in a collaborative environment and enjoy tackling complex problems. Your experience developing ML compilers or low-level debugging tools will be a significant asset in this role. You are eager to contribute to projects that impact Google's vast array of products and services, and you are excited about the opportunity to work with cutting-edge technologies.

What you'll do

As a Software Engineer at Google, you will focus on developing debugging tools for XLA-TPU, which are critical for enhancing the performance and reliability of machine learning workloads. You will identify sources of numerical instability in production ML workloads and design software changes to mitigate these issues. Collaborating closely with modeling teams, you will root-cause and fix numerical problems in their ML models, improving the overall understanding of numerics in ML by analyzing and documenting compiler and hardware internals.

You will have the opportunity to work on specific projects that are vital to Google's needs, with the flexibility to switch teams and projects as the business evolves. Your contributions will help shape the future of machine learning at Google, ensuring that our products can handle information at massive scale. You will also engage in discussions about system design and architecture, contributing your insights to improve our infrastructure.

What we offer

Google provides a dynamic work environment where innovation thrives. You will be part of a team that values collaboration and encourages you to bring fresh ideas to the table. We offer competitive compensation and benefits, along with opportunities for professional growth and development. You will work alongside some of the brightest minds in the industry, tackling challenges that have a real impact on millions of users worldwide.