
Software Engineering Manager, GPU AI Infrastructure
職缺摘要
技術需求
學歷要求
Bachelor
職缺描述
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Manage, grow and lead a team with a various technical portfolio that interacts with a large set of Google Services and Cloud teams, and cross-functional stakeholders.
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Develop, integrate, test, deploy and debug the system software for GPU and other accelerator systems.
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Interact and integrate with a variety of software components including: board and chip firmware, linux kernel drivers, high speed interconnect bus firmware, hardware design, Google data center server management and monitoring stack, etc.
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Collaborate with hardware, manufacturing, data center operations team, cloud engineering, and other external partners to plan and execute the programs end-to-end, including product development, vendor engagement, manufacturing, and productivity improvements.
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Define technical goal and roadmaps that bridge team priorities with organizational goals. Drive growth through clear role expectations, consistent coaching, and proactive feedback.
Minimum qualifications:
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Bachelor’s degree, or equivalent practical experience.
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8 years of experience in software development.
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3 years of experience with embedded operating systems.
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3 years of experience in a technical leadership role.
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2 years of experience in a people management or team leadership role.
Preferred qualifications:
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Master’s degree or PhD in Engineering, Computer Science, or a related technical field.
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Experience in developing software that interacts with hardware: e.g. embedded systems, drivers, system software.
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Experience in system integration and NPI (New Product Introduction).
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Experience with Machine Learning (ML) concepts and GPUs.