Senior Manager, GPU Machine Learning Production
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Minimum qualifications:
- Bachelor’s degree, or equivalent practical experience.
- 8 years of experience programming in C++, Java, Python, Kotlin or Go.
- 5 years of experience in a technical leadership role.
- 5 years of experience in a people management or team leadership role.
- 5 years of experience with embedded systems.
- 5 years of experience with software architecture.
Preferred qualifications:
- Experience in steering hardware platforms through the NPI phase, stabilizing them, and successfully transitioning them into GA.
- Experience in organizational design, consolidating fragmented, project-funded task forces into a centralized and sustainably funded operational engineering team.
- Experience designing or integrating automated diagnostic frameworks and health management systems to rapidly root-cause hardware and software faults across a fleet.
- Experience bridging hardware, systems software, and site reliability teams to advocate for "design for supportability" in future hardware iterations.
- Experience operating within a cloud or enterprise environment, partnering directly with customers to translate their operational pain points into upstream infrastructure improvements.
About the job
Like Google's own ambitions, the work of a Software Engineer goes beyond just Search. Software Engineering Managers have not only the technical expertise to take on and provide technical leadership to major projects, but also manage a team of Engineers. You not only optimize your own code but make sure Engineers are able to optimize theirs. As a Software Engineering Manager you manage your project goals, contribute to product strategy and help develop your team. Teams work all across the company, in areas such as information retrieval, artificial intelligence, natural language processing, distributed computing, large-scale system design, networking, security, data compression, user interface design; the list goes on and is growing every day. Operating with scale and speed, our exceptional software engineers are just getting started -- and as a manager, you guide the way.
With technical and leadership expertise, you manage engineers across multiple teams and locations, a large product budget and oversee the deployment of large-scale projects across multiple sites internationally.
The GPU Platform Software team is responsible for building a bleeding edge platform that will power Google services and world's ML. GPU compute platforms enables Google services like Search, Ads, Google Cloud, Deep Mind, etc. The team develops the system software, firmware, tools, and tests to bring GPUs to Google's compute infrastructure.
Responsibilities
- Guide the transition of GPU production support from fragmented, NPI-specific task forces into a centralized, standing organization.
- Develop and execute a comprehensive, multi-year roadmap for GPU fleet stability, capacity turn-up, and automated health management, aligning with broader Cloud and AI infrastructure goals.
- Anticipate the support needs for next-generation GPU architectures and proactively build the capabilities required for seamless NPI to General Availability (GA) transitions.
- Sponsor and drive the development of advanced telemetry, debugging tooling, and automated remediation systems to scale fleet management and significantly reduce operational toil.
- Serve as the executive escalation point for critical, systemic hardware and software issues on GPU Superpods.
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