The Senior Software Engineer for AI/ML System Infrastructure at Google will focus on developing software for Tensor Processing Unit (TPU) system control planes. This role involves designing health management systems that utilize hardware telemetry and building analytics to detect hardware issues. The engineer will work on critical projects that require collaboration across teams and will contribute to the continuous improvement of TPU AI infrastructure. The position demands versatility and leadership qualities as the engineer tackles new challenges in a fast-paced environment.

• Bachelor’s degree or equivalent practical experience.
• 5 years of experience working with Go.
• 3 years of experience developing large-scale infrastructure, distributed systems, or networks.
• 3 years of experience in distributed computing.
• 3 years of experience in infrastructure design.
• 3 years of experience in system architecture.

• Build and develop systems for the continuous operation of TPU AI infrastructure.
• Define requirements for the Diagnoser and identify customer benefits.
• Align cross-functional teams on the roadmap for PodCare and Diagnoser.
• Deliver high-quality code and manage timely project delivery.
• Contribute to the CI/CD pipeline and conduct integration and regression testing for the health monitoring system.

• Employees at Google are often offered benefits like comprehensive health insurance, 401(k) matching, and flexible work arrangements, among other benefits.