Build partner specific, go-to-market solutions to reduce business cycles and drive partner business as measured through pipeline and business growth.
Build trusted advisory relationships and make recommendations on integration strategies, enterprise architectures, platforms, and application infrastructure required to successfully implement a complete solution providing best practice advice to customers to optimize Google Cloud effectiveness.
Identify customer priorities, technical objections, and design strategies encompassing the entire Google ecosystem to deliver business value and resolve blockers.
Conduct in-depth performance profiling and optimization of customer models and data pipelines specifically for the high performance computing accelerator hardware architecture, identifying and resolving bottlenecks.
Minimum qualifications
Bachelor's degree in Computer Science, Mathematics, a related technical field, or equivalent practical experience.
6 years of experience with cloud native architecture in a customer-facing or support role.
Experience in developing and deploying models using frameworks (e.g., TensorFlow, PyTorch, or JAX) specifically on high performance computing hardware (HPC).
Preferred qualifications
Experience with HPC environments and contributions to open-source projects related to infrastructure.
Experience with lower-level performance tools and techniques (e.g., custom kernel development, XLA compiler) relevant to optimizing code.
Experience designing and architecting large-scale infrastructure farms.
Experience profiling and debugging GPU/TPU workloads using XProf or PyTorch Profiler, or NVIDIA Nsight, etc.
Bachelor's degree in Computer Science, Mathematics, a related technical field, or equivalent practical experience.
6 years of experience with cloud native architecture in a customer-facing or support role.
Experience in developing and deploying models using frameworks (e.g., TensorFlow, PyTorch, or JAX) specifically on high performance computing hardware (HPC).