The Staff Software Engineer, ML Frameworks role at Google focuses on developing large-scale machine learning infrastructure. The engineer will work on critical projects that enhance Google's compute infrastructure, aiming to create a self-optimizing accelerator ecosystem. This position requires strong technical expertise and the ability to influence stakeholders while managing project priorities. The role is essential for driving efficiencies in ML workloads and delivering impactful software features for Google's accelerator fleet.

• Bachelor's degree or equivalent practical experience.
• 8 years of experience in software development.
• 5 years of experience testing and launching software products.
• 3 years of experience with software design and architecture.
• 5 years of experience in ML design and ML infrastructure.

• Drive technical strategy, roadmaps, and adoption for large-scale ML infrastructure development.
• Exercise sound engineering judgment to guide sustainable engineering choices for ML systems at scale.
• Seek additional opportunities to drive efficiencies in ML workloads using scaling and idle suspend.
• Deliver impactful software features for Google's accelerator fleet.
• Partner with GDM and other PAs to transfer key innovations into products developed by your team.

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