The Tech Lead Manager for Staff Software Engineering at Google will oversee a team of engineers while driving technical leadership on major projects. This role focuses on optimizing machine learning software and hardware stacks, ensuring that engineers can enhance their code effectively. The position involves managing project goals, contributing to product strategy, and collaborating across various teams. The ideal candidate will work at the intersection of hardware and software, particularly in machine learning paradigms.

• Bachelor’s degree or equivalent practical experience.
• 8 years of experience in software development.
• 5 years of experience in programming, debugging, computer architecture, and C++.
• 3 years of experience in a technical leadership role.
• Experience in a people management, supervision/team leadership role.

• Drive continuous improvements to the machine learning software/hardware stacks through performance debugging.
• Summarize different views of captured profile data such as trace timelines and memory usage.
• Support new ML paradigms by contributing across the end-to-end stack and analysis tools.
• Partner with product area leads to understand model optimization use cases and drive cross-functional efforts.
• Collaborate with Hardware, Driver, Runtime, and Performance Analysis teams and other stakeholders.

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