Manage, grow and lead a team with a various technical portfolio that interacts with a large set of Google Services and Cloud teams, and cross-functional stakeholders.
Develop, integrate, test, deploy and debug the system software for GPU and other accelerator systems.
Interact and integrate with a variety of software components including: board and chip firmware, linux kernel drivers, high speed interconnect bus firmware, hardware design, Google data center server management and monitoring stack, etc.
Collaborate with hardware, manufacturing, data center operations team, cloud engineering, and other external partners to plan and execute the programs end-to-end, including product development, vendor engagement, manufacturing, and productivity improvements.
Define technical goal and roadmaps that bridge team priorities with organizational goals. Drive growth through clear role expectations, consistent coaching, and proactive feedback.

Software Engineering Manager, GPU AI Infrastructure

Job Description