Networking Performance Modeling Architect, Google Cloud

Be part of a team that pushes boundaries, developing custom silicon solutions that power the future of Google's direct-to-consumer products.

• Design, develop, test, deploy, maintain, and improve SOC software modeling and other software tools.
• Manage individual project priorities, deadlines, and deliverables.
• Collaborate with hardware and software architecture teams, SOC performance modeling team, and other Google software teams.

• Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, or equivalent practical experience.
• 5 years of experience with software development in C++, and with data structures/algorithms.
• Experience in performance modeling, performance analysis, and workload characterization.
• Master’s degree or PhD in Engineering, Computer Science, or a related technical field.
• 4 years of experience with performance, systems data analysis, visualization tools, or debugging.
• Experience in modern, high-performance Networking architecture and micro-architecture.
• Ability and interest to learn other coding languages as needed.
• Excellent object-oriented, database design, and SQL skills.

• 5 years of experience with software development in C++, and with data structures/algorithms.
• Experience in performance modeling, performance analysis, and workload characterization.
• Master’s degree or PhD in Engineering, Computer Science, or a related technical field.
• 4 years of experience with performance, systems data analysis, visualization tools, or debugging.
• Experience in modern, high-performance Networking architecture and micro-architecture.
• Ability and interest to learn other coding languages as needed.
• Excellent object-oriented, database design, and SQL skills.

The ML, Systems, & Cloud AI (MSCA) organization at Google designs, implements, and manages the hardware, software, machine learning, and systems infrastructure for all Google services (Search, YouTube, etc.) and Google Cloud.