The Software Engineer III position focuses on improving the Accelerated Linear Algebra (XLA) compiler stack for machine learning models across various hardware platforms. The role is part of the AI and Infrastructure team, which aims to enhance compiler stability and usability while integrating with machine learning frameworks. Candidates will work on productionizing the integration of the XLA compiler, ensuring efficient operation on Google's accelerator hardware. This position is suitable for individuals interested in compilers and machine learning runtime systems.

• Bachelor’s degree or equivalent practical experience.
• 2 years of experience with software development in C++.
• 2 years of experience with developing large-scale infrastructure, distributed systems or networks.
• 2 years of experience testing, maintaining, or launching software products.
• 1 year of experience with software design and architecture.

• Write and test product or system development code.
• Understand how accelerator compilers and runtimes interact at a high level.
• Develop and apply metrics to understand the problem you are solving.
• Close infrastructure gaps to help with ML stack maturation.
• Participate in design reviews with peers and stakeholders.

• Employees at Google are often offered benefits like comprehensive health insurance, 401(k) matching, and flexible work arrangements, among other benefits.