As a PhD Software Engineer, your specialized research expertise will be instrumental in solving complex, real-world problems on an unprecedented scale.
Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.
Be responsible for design, development, and delivery of product features and components within Google Cloud Platform (GCP) hybrid connectivity products. Drive projects from design to launch with limited oversight.
Design, and implement highly scalable, reliable, and secure distributed systems for hybrid cloud networking. Make sound technical judgments in ambiguity and proactively identify opportunities for system improvements or new tool development.
Collaborate across multiple Engineering teams, including Product Management, Site Reliability Engineering (SRE), and other Networking teams within GCP.
Contribute to team-level technical decisions and participate in broader engineering community efforts such as interviewing and knowledge sharing.
Ensure the production health, monitoring, and on-call support for hybrid connectivity services. Drive initiatives to improve system reliability, observability, and supportability, potentially leveraging AI/ML for enhanced operational insights.
Minimum qualifications
PhD degree in Computer Science, Electrical Engineering, or a related technical field.
Experience in software development, with a focus on areas such as large-scale distributed systems, AI/ML, networking, data storage, or security.
Experience in architecture or development of distributed systems, including concurrency, multi-threading, or synchronization.
Experience in algorithms, complexity analysis, and system design.
Experience coding in one of the following programming languages including but not limited to: C, C++, Python Java or Golang.
Preferred qualifications
PhD degree in Computer Science or related technical field with coding experience in C++/Go.
Experience architecting and developing large-scale distributed systems.
Experience in concurrency, multithreading and synchronization and good understanding of networking concepts, protocols (e.g., TCP/IP, BGP).
Strong problem-solving skills and understanding of algorithms and their level of complexity.
Strong software and systems troubleshooting and debugging skills.
Good written and verbal communication skills.
PhD degree in Computer Science, Electrical Engineering, or a related technical field.
Experience in software development, with a focus on areas such as large-scale distributed systems, AI/ML, networking, data storage, or security.
Experience in architecture or development of distributed systems, including concurrency, multi-threading, or synchronization.
Experience in algorithms, complexity analysis, and system design.
Experience coding in one of the following programming languages including but not limited to: C, C++, Python Java or Golang.
