As a PhD Software Engineer within AI2, your specialized research expertise will be instrumental in solving complex, real world problems on an unprecedented scale. You will engage in innovative projects spanning areas like AI/ML, networking, data storage, security, and distributed systems.
Develop kernel drivers for the various Infrastructure Processing Units (IPUs)/Network Interface Cards (NICs) in our portfolio, and ensuring that end-to-end systems built with these devices achieve the scale, reliability, performance expected of networking, and that such systems interact well within the Google Cloud ecosystem.
Minimum qualifications
PhD degree in Computer Science, Electrical Engineering, or a related technical field.
Experience coding in one of the following programming languages including but not limited to: C, C++, Java or Golang.
Experience in software development, with a focus on areas such as large-scale distributed systems and networking.
Experience in algorithms, complexity analysis, and system design.
Preferred qualifications
Experience working with SmartNIC technologies.
Ability to act as a generalist software engineer blending technical execution with program management and process optimization.
Ability to lead multiple workstreams with attention to detail.
Ability to write and review code, ensuring adherence to best practices in style, accuracy, testability, and efficiency.
Ability to investigate, diagnose, and resolve technical issues by analyzing root causes and impact.
PhD degree in Computer Science, Electrical Engineering, or a related technical field.
Experience coding in one of the following programming languages including but not limited to: C, C++, Java or Golang.
Experience in software development, with a focus on areas such as large-scale distributed systems and networking.
Experience in algorithms, complexity analysis, and system design.
