Conceptualize and prove novel AI strategies to optimize Google's compute infrastructure and meet performance needs.

Build tools for kernel quality insights and manage the non-disruptive rollout of fixes to the fleet in alignment with upstream practices.

Design tests and debug a broad range of kernel issues across testing, qualification, and release cycles to minimize production impact.

Provide technical leadership and mentorship to team members within the engineering and operational environments.

Work within a team of Kernel and AI experts to drive forward the industry and Google's Node-level engineering practice.

Bachelor’s degree or equivalent practical experience.

5 years of experience working with the Linux kernel, including debugging and fixing kernel issues.

3 years of experience with developing large-scale infrastructure, distributed systems or networks, or experience with compute technologies, storage or hardware architecture.

3 years of experience testing, maintaining, or launching software products, and 1 year of experience with software design and architecture.