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.
Experience with hardware software co-design or experience with the chip design process.
Experience with maximizing the performance of ML accelerators (e.g., CPU/GPU/TPU/XLA).
Technical expertise in systems and software with the leadership skills needed to influence technical leaders across the company.
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 large potential risks related to infrastructure usage.