Senior Software Engineer, AI/ML System Infrastructure

Job description

Build and develop systems to integrate in continuous running of TPU AI infrastructure. Work cross-functionally to define the requirements for Diagnoser, and how will the customer benefit from it and define the Critical User Journeys (CUJs). Influence and align the cross-functional teams on roadmap of PodCare and Diagnoser. Deliver high quality code and timely project while working with cross-functional teams. Contribute to CI/CD pipeline and integration and regression test for health monitoring system. Minimum Qualifications: Bachelor’s degree or equivalent practical experience. 5 years of experience working with Go. 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 in distributed computing. 3 years of experience in infrastructure design. 3 years of experience in system architecture. Preferred Qualifications: Master's degree or PhD in Computer Science or related technical field. 5 years of experience with data structures and algorithms. 5 years of experience with C and C++. 1 year of experience in a technical leadership role. Experience developing accessible technologies.