Software Engineer, PhD, Early Career, Networking, 2026 Start

Google · Bangalore

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Last observed by our collector: 8 October 2026 at 11:28 pm IST. This is not a manual review or a confirmation from the employer.

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Collected minimum qualification: 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.Attendance and availability: I checked the employer page for work location, office attendance, start date and duration.Current requisition: I checked the current employer requisition and its application requirements.

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Collected role description

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.

Collected minimum qualification

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.

Collected preferred qualification

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.