Software Engineering Manager, GPU AI Infrastructure

• 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.

Minimum qualifications:

• Bachelor’s degree, or equivalent practical experience.

• 8 years of experience in software development.

• 3 years of experience with embedded operating systems.

• 3 years of experience in a technical leadership role.

• 2 years of experience in a people management or team leadership role.

Preferred qualifications:

• Master’s degree or PhD in Engineering, Computer Science, or a related technical field.

• Experience in developing software that interacts with hardware: e.g. embedded systems, drivers, system software.

• Experience in system integration and NPI (New Product Introduction).

• Experience with Machine Learning (ML) concepts and GPUs.