Asaph Zemach
Engineering Leader | Building Scalable Infrastructure for AI and HPC | Deep Expertise in Distributed Compute, Orchestration, and Scalability
Woodinville, Washington, United States Contact info
- 500+ connections
AboutAbout
I'm a technically grounded engineering leader with over 25 years of experience building and scaling high-performance AI, ML, and HPC infrastructure within complex cloud environments. I excel at driving large-scale, cross-functional programs from concept through to global, business-critical impact.
At Google Cloud, I spearheaded the development and delivery of foundational AI/HPC provisioning software, directly contributing to over $1B in revenue (2019-2025). I also launched and led Google Batch, managing 100M+ core/hours/month for compute-intensive workloads. These initiatives, along with the Cluster Toolkit, demonstrate my end-to-end ownership: from strategic roadmap definition and system architecture to cross-functional execution, seamless customer onboarding, and sustained operational excellence.
My deep expertise spans distributed systems, performance optimization, and observability infrastructure, leveraging orchestration layers like Kubernetes and Slurm. I've implemented critical processes, such as a Stage-Gate validation process that virtually eliminated early CPU platform issues and reduced early-stage GPU bugs by 75%, significantly enhancing platform reliability. I also established metrics-driven review cycles to guide technical health and long-term product direction, fostering a culture of continuous improvement.
I consistently translate complex engineering challenges into strategic business outcomes, equally comfortable designing advanced runtime infrastructure, leading multi-org technical initiatives, or engaging with executive stakeholders. My passion lies in building resilient systems and high-performing teams that scale reliably under real-world complexity, especially when the problem space involves cutting-edge AI and scientific computing at an immense scale.
If you're seeking a leader who can deliver innovative, robust AI infrastructure solutions and drive significant business impact, let's connect.I'm a technically grounded engineering leader with over 25 years of experience building and scaling high-performance AI, ML, and HPC infrastructure within complex cloud environments. I excel at driving large-scale, cross-functional programs from concept through to global, business-critical impact. At Google Cloud, I spearheaded the development and delivery of foundational AI/HPC provisioning software, directly contributing to over $1B in revenue (2019-2025). I also launched and led Google Batch, managing 100M+ core/hours/month for compute-intensive workloads. These initiatives, along with the Cluster Toolkit, demonstrate my end-to-end ownership: from strategic roadmap definition and system architecture to cross-functional execution, seamless customer onboarding, and sustained operational excellence. My deep expertise spans distributed systems, performance optimization, and observability infrastructure, leveraging orchestration layers like Kubernetes and Slurm. I've implemented critical processes, such as a Stage-Gate validation process that virtually eliminated early CPU platform issues and reduced early-stage GPU bugs by 75%, significantly enhancing platform reliability. I also established metrics-driven review cycles to guide technical health and long-term product direction, fostering a culture of continuous improvement. I consistently translate complex engineering challenges into strategic business outcomes, equally comfortable designing advanced runtime infrastructure, leading multi-org technical initiatives, or engaging with executive stakeholders. My passion lies in building resilient systems and high-performing teams that scale reliably under real-world complexity, especially when the problem space involves cutting-edge AI and scientific computing at an immense scale. If you're seeking a leader who can deliver innovative, robust AI infrastructure solutions and drive significant business impact, let's connect.
At Google Cloud, I spearheaded the development and delivery of foundational AI/HPC provisioning software, directly contributing to over $1B in revenue (2019-2025). I also launched and led Google Batch, managing 100M+ core/hours/month for compute-intensive workloads. These initiatives, along with the Cluster Toolkit, demonstrate my end-to-end ownership: from strategic roadmap definition and system architecture to cross-functional execution, seamless customer onboarding, and sustained operational excellence.
My deep expertise spans distributed systems, performance optimization, and observability infrastructure, leveraging orchestration layers like Kubernetes and Slurm. I've implemented critical processes, such as a Stage-Gate validation process that virtually eliminated early CPU platform issues and reduced early-stage GPU bugs by 75%, significantly enhancing platform reliability. I also established metrics-driven review cycles to guide technical health and long-term product direction, fostering a culture of continuous improvement.
I consistently translate complex engineering challenges into strategic business outcomes, equally comfortable designing advanced runtime infrastructure, leading multi-org technical initiatives, or engaging with executive stakeholders. My passion lies in building resilient systems and high-performing teams that scale reliably under real-world complexity, especially when the problem space involves cutting-edge AI and scientific computing at an immense scale.
If you're seeking a leader who can deliver innovative, robust AI infrastructure solutions and drive significant business impact, let's connect.I'm a technically grounded engineering leader with over 25 years of experience building and scaling high-performance AI, ML, and HPC infrastructure within complex cloud environments. I excel at driving large-scale, cross-functional programs from concept through to global, business-critical impact. At Google Cloud, I spearheaded the development and delivery of foundational AI/HPC provisioning software, directly contributing to over $1B in revenue (2019-2025). I also launched and led Google Batch, managing 100M+ core/hours/month for compute-intensive workloads. These initiatives, along with the Cluster Toolkit, demonstrate my end-to-end ownership: from strategic roadmap definition and system architecture to cross-functional execution, seamless customer onboarding, and sustained operational excellence. My deep expertise spans distributed systems, performance optimization, and observability infrastructure, leveraging orchestration layers like Kubernetes and Slurm. I've implemented critical processes, such as a Stage-Gate validation process that virtually eliminated early CPU platform issues and reduced early-stage GPU bugs by 75%, significantly enhancing platform reliability. I also established metrics-driven review cycles to guide technical health and long-term product direction, fostering a culture of continuous improvement. I consistently translate complex engineering challenges into strategic business outcomes, equally comfortable designing advanced runtime infrastructure, leading multi-org technical initiatives, or engaging with executive stakeholders. My passion lies in building resilient systems and high-performing teams that scale reliably under real-world complexity, especially when the problem space involves cutting-edge AI and scientific computing at an immense scale. If you're seeking a leader who can deliver innovative, robust AI infrastructure solutions and drive significant business impact, let's connect.
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