Bachelor’s degree in Computer Science, or similar technical field of study or equivalent
15 years of professional experience as a software engineer or 13 years with an advanced degree.
Experience with technical innovation in Frameworks, Libraries, Tools, APIs, or related fields.
Preferred qualifications:
20 years of professional experience.
Technical expertise in systems and software with the leadership skills needed to influence technical leaders across the company.
Expertise in reasoning and quantifying relative impacts and risks of technical work that could require the involvement of thousands of engineers.
Understanding of the needs of advanced ML developers.
Ability to quickly ramp up in new subject areas with short notice to guide a few weeks of mission-critical research into the largest potential risks related to Google infrastructure usage.